A Level 3 Award of two units and a Level 3 Diploma of six. Every learning outcome and every assessment criterion is on this page, in full, with the level check that holds each unit against the Ofqual Level 3 descriptor.
The Level 3 Award sits inside the Diploma as units 1 and 2, unchanged. It carries 120 TQT, 12 credits and 50 assessment criteria.
Future Fluency is about working well alongside AI and automation. Not building the technology. Using it, checking it, and leading a team through what it changes.
The subject moves as the level rises, and it moves deliberately.
This matters for reviewing the specifications. A reader expecting deeper AI content at Level 5 will think the units have gone soft. They have not. The level rises through the complexity of the problem, not the difficulty of the tool.
This page specifies the Level 3 qualifications. The Level 5 Diploma is specified in the same pack and is not reproduced here.
Credit is calculated at the Ofqual convention of 1 credit per 10 hours of Total Qualification Time.
Level 3 · TQT 120 · 12 credits · 2 mandatory units
| Ref | Unit | TQT | Credits | GLH |
|---|---|---|---|---|
| ZFF-AI-03 | Using and Checking AI Tools in Daily Work | 70 | 7 | 35 |
| ZFF-GM-03 | Developing a Growth Mindset for Changing Work | 50 | 5 | 25 |
| Total | 120 | 12 | 60 |
50 assessment criteria.
Level 3 · TQT 390 · 39 credits · 6 mandatory units. Select a reference to open that unit.
| Ref | Unit | TQT | Credits | GLH | LOs | Criteria |
|---|---|---|---|---|---|---|
| ZFF-AI-03 | Using and Checking AI Tools in Daily Work | 70 | 7 | 35 | 5 | 28 |
| ZFF-GM-03 | Developing a Growth Mindset for Changing Work | 50 | 5 | 25 | 5 | 22 |
| ZFF-DA-03 | Turning Workplace Data into a Recommendation | 60 | 6 | 30 | 5 | 24 |
| ZFF-GV-03 | Working Safely and Responsibly with AI | 50 | 5 | 30 | 5 | 21 |
| ZFF-AU-03 | Automating a Repeated Task in Own Work | 60 | 6 | 25 | 5 | 24 |
| ZFF-PJ-03 | Applied Project: Improving Own Work with AI | 100 | 10 | 10 | 5 | 26 |
| Total | 390 | 39 | 155 | 30 | 145 |
145 assessment criteria. 390 TQT clears the 370 Diploma threshold with 20 hours of headroom.
| Level 3 Diploma | Level 5 Diploma | |
|---|---|---|
| Guided learning | 155 (40%) | 144 (35%) |
| Everything else | 235 (60%) | 266 (65%) |
The share of guided learning falls as the level rises, and that is the descriptor doing its work. A Level 5 problem is only broadly defined. A large part of what the learner needs cannot be known in advance by anyone, including the tutor. The department, its systems and its people are the content, and they are found in the doing.
Two things are easy to misread in that table.
Guided learning is not the same as time with Zavmo. It is the hours spent under direction. Tutoring is one part of that, not all of it.
The other hours are not all project work. They are reflection, reading and personal investigation as well as the project, and most of it happens inside the learner's own job.
Every criterion is held against the Ofqual RQF Level 3 descriptor: problems that, while well defined, may be complex and non-routine; the learner can interpret and evaluate relevant information and ideas, is aware of different perspectives or approaches, uses appropriate investigation to inform actions, and reviews how effective methods and actions have been.
Deliberately absent throughout: analyse (Level 4), critically analyse and design (Level 6), reformulate (Level 7).
Scope stays personal in every unit. The moment an outcome reaches a colleague, a team or a department, it has left Level 3.
An assessor working at a distance from the learner has one hard problem. The portfolio arrives finished, and nothing in a finished artefact proves who made it, in what order, or whether the learner's account of producing it is true. Zavmo records what a learner did in the platform as time-stamped statements, and those statements can be put in front of the assessor alongside the portfolio.
This section sets out what that record holds, how a single statement is tied to a learning outcome and an assessment criterion, and what the record cannot show. Each unit then carries the same three things for its own outcomes.
Zavmo uses the xAPI vocabulary of actor, verb, object, context and result, but there is no external learning record store. Every statement is a row in one Postgres table inside the Zavmo API service. There is one store and nothing is mirrored outside the platform. For an awarding organisation that matters, because retention, access control and export of learner records are then properties of one system rather than of a chain of them.
Every statement built through Zavmo's statement builder carries ten mandatory context extensions. Two of them are the ones that matter to a regulated qualification:
http://zavmo.ai/extensions/learning_outcome_id, the learning outcome the activity was againsthttp://zavmo.ai/extensions/assessment_criteria_addressed, the list of assessment criteria the activity bore onBoth are required arguments of the builder. A statement cannot be constructed without them, so there is no route by which activity is recorded but left unattached to an outcome. When the platform records that a learning outcome has been met, the statement carries the outcome reference and the criteria references with it. That pair of extensions is the bridge between a time-stamped event and a line in a unit on this page.
Three numbers describe the event catalogue and they mean three different things. Reading them as one number would give an inspector a false picture of what is running, so every event named on this page carries which of the three it is.
| Status | What it means | What an assessor should do with it |
|---|---|---|
| Observed | The event has fired in the production system and the statements exist. | Treat as available evidence, subject to the limits below. |
| Wired | The code that emits it exists, but it has not been seen firing in production. | Treat as expected, not present. Ask for it to be demonstrated before relying on it. |
| Catalogued | The event is defined in the registry and nothing has been built. | Treat as absent. It is not evidence of anything. |
150 catalogued events have never fired. An event that has never emitted is not evidence, and we would rather say so here than have it found in an external quality assurance visit. The gap between wired and observed is emitters sitting on code paths that production learners have not yet taken.
Counts measured on 17 July 2026. The catalogued and wired figures come from an audit that is regenerated from the code itself and fails the build if it drifts from it. The observed figure is a read only aggregate over the production statement table, covering 20,610 statements from 547 distinct learners between 13 February 2026 and 17 July 2026.
Roughly four statements in five carry no canonical event identifier. In the measured window only 19% of rows carried one. The rest are real activity recorded through the front-end path without a registry identifier, so they cannot be attributed to a named event. They are still statements, and they still carry a learner, a verb, an object and a time. They are simply not countable by event.
The two extensions are populated from Zavmo's own identifiers, not from Gateway's. Today the outcome and criteria slots are filled from the learner's own outcome record inside the platform. They do not yet carry references in the form used on this page, such as ZFF-AI-03 3.3. Mapping these units into those slots is work to be done before first registration.
Until it is done, the tie between a statement and a criterion on this page is a mapping we intend rather than one the data already carries. The mechanism is built and proven. The mapping to these six units is not.
A status is a measurement with a date on it. Eight events that were wired in July are not any more, because the feature that emitted them was deliberately removed. Two of those had already fired, so they stay in the observed snapshot permanently. A further six event identifiers have fired in production that are not in the registry at all. No status should be read without its date, and none of those retired or unregistered events is referenced in the unit sections below.
xAPI records the platform, not the job. It has no sight of what a learner did in a spreadsheet, a workflow tool, a meeting or a conversation with their manager. At Level 3 most of the assessed activity is in the job, so for most criteria the platform record is corroboration around workplace evidence rather than the evidence itself. The unit sections say plainly where that line falls.
The AI teaches. A human assessor decides. The xAPI record is evidence put in front of the assessor. It is never an assessment decision. No criterion in this specification is met or not met because a statement exists, and where the platform runs its own validation checks those checks are formative: they inform the assessor and decide nothing. Every decision on every criterion is made by the named human assessor, internally verified, and sampled externally.
Each unit lists the events most likely to bear on its outcomes. The record for a learner is not limited to those events.
This unit gives the learner the skills to use everyday AI tools on the tasks they already carry out in their own job, and to check what those tools produce before it is used. Learners find out what a large language model does when it answers a question, and why it can be wrong while reading as certain. They then select real tasks from their own working week, write and improve the instructions they give the tool, check the output against other sources, correct it, and review what has changed about the way they work. Scope is personal. All evidence comes from work the learner is already responsible for.
| Ref | The learner can |
|---|---|
| 1.1 | Describe, in everyday language, what a large language model does when it answers a question |
| 1.2 | Outline where the information a large language model draws on comes from, and how up to date that information is |
| 1.3 | Describe why a large language model can produce an answer that is incorrect but reads as certain |
| 1.4 | Identify the types of task in own area of work where a large language model is likely to be reliable, and the types where it is likely to be unreliable |
| 1.5 | Describe what happens to information that is entered into the AI tools used in own workplace |
| 1.6 | Describe the different views held by people in own area of work about the use of AI, and the reasons given for them |
| Ref | The learner can |
|---|---|
| 2.1 | Select a task carried out each day or each week in own role to complete with an AI tool, and state the reasons for the choice |
| 2.2 | Identify a task in own role that should not be given to an AI tool, and state the reasons |
| 2.3 | Identify the information handled in own role that must not be entered into an AI tool |
| 2.4 | State the requirements the finished task must meet, including the audience and the format |
| Ref | The learner can |
|---|---|
| 3.1 | Write instructions to an AI tool that set out the task, the audience, the format and any limits to be applied |
| 3.2 | Produce an output for a selected task in own role using those instructions |
| 3.3 | Change the instructions in response to the output produced, and state what was changed and the reasons for it |
| 3.4 | Compare the outputs produced by two different sets of instructions for the same task |
| 3.5 | State which output met the requirements set for the task, giving reasons |
| 3.6 | Produce a set of instructions that can be used again for a task that recurs in own work |
This stem uses the Level 3 descriptor clause verbatim.
| Ref | The learner can |
|---|---|
| 4.1 | Describe what critical thinking means when it is applied to the output of an AI tool |
| 4.2 | Identify the statements within an AI output that must be checked before the output is used |
| 4.3 | Use at least two other sources to check facts contained in an AI output |
| 4.4 | Describe the errors found, including any information that was invented, out of date, one-sided or missing |
| 4.5 | Amend the output so that it meets the requirements set for the task |
| 4.6 | Explain the reasons for each amendment made |
| 4.7 | Describe an occasion in own work when an AI output was rejected, and the reasons for rejecting it |
| Ref | The learner can |
|---|---|
| 5.1 | Describe how a task in own role is carried out differently when an AI tool is used |
| 5.2 | Estimate the time added or saved by using an AI tool on that task |
| 5.3 | Identify the parts of the task that remain the responsibility of the person rather than the tool |
| 5.4 | State where AI has been used in own work, in line with own organisation's rules |
| 5.5 | Identify one change to make to own use of AI tools on the next similar task |
5 learning outcomes, 28 assessment criteria.
| Descriptor clause | Answered by |
|---|---|
| Knowledge to address problems that, while well defined, may be complex and non-routine | LO1, LO2. The task is well defined by 2.4. The non-routine element is the output that is confidently wrong |
| Can interpret and evaluate relevant information and ideas | LO4 in full, plus 3.4 and 3.5 |
| Is aware of the nature of the area | 1.1, 1.2, 1.4 |
| Is aware of different perspectives or approaches | 1.1 to 1.3, and 1.6 |
| Identify, select and use appropriate skills, methods and procedures | LO2, LO3 |
| Use appropriate investigation to inform actions | 4.3, 4.4 |
| Review how effective methods and actions have been | LO5 in full |
Not Level 2. Evaluation against evidence (4.3) and comparison of two methods against a standard (3.4, 3.5) sit past the Level 2 band, which stops at interpreting relevant information.
Not Level 4. No criterion requires the learner to analyse, and every task carries a stated requirement set (2.4) against which the output is judged.
Not Level 6. Nothing asks the learner to critically analyse contested material, design research, or evaluate implications.
The knowledge outcomes in this unit are built in dialogue with a Zavmo character, and that dialogue is recorded. The platform can show an assessor when the learner was shown the criteria, which knowledge checks they answered and what they answered, when an outcome was recorded as met, and which questions the learner asked rather than waited to be told. For LO3 and LO4 it holds the submitted instruction sets and outputs, and the validation run against them.
| Event | Status | What it can be put against |
|---|---|---|
| ZAV-LRN-004Assessment criteria viewed | Observed | The learner was shown the criteria for this unit before working to them. Context for the portfolio rather than evidence for any one criterion. |
| ZAV-LRN-031Content delivered | Observed | The teaching that stands behind LO1. Shows what was covered and when. |
| ZAV-LRN-032Knowledge check answered | Observed | Carries the learner's own answer. Bears on 1.1 to 1.6, read alongside the professional discussion. |
| ZAV-ENG-006Learner-initiated question | Observed | The learner questioned an answer rather than accepting it. Supporting evidence for 4.1 and 4.2. |
| ZAV-LRN-050Learning outcome met | Observed | Carries the outcome reference and the criteria references. This is the statement that ties the record to LO1 to LO5. |
| ZAV-LRN-052Unit completed | Observed | All outcomes recorded as met for the unit. |
| ZAV-LRN-041Demonstration submitted | Wired | The submitted instruction sets and amended outputs. Would bear on 3.1, 3.2, 3.6 and 4.5. |
| ZAV-LRN-042Demonstration validated | Wired | The platform's own review of that submission. Formative. It informs the assessor and decides nothing. |
| ZAV-CRT-002Assessment criterion attempted | Wired | Per-criterion attribution inside the platform's practice checks. Not seen firing in production. |
| ZAV-CRT-003Assessment criterion passed | Wired | As above, and it records a practice result, not an assessment decision. |
| ZAV-OFQ-004Ofqual assessment criterion passed | Wired | The regulated-route equivalent of the two above. Wired and never observed, so it cannot be relied on at first registration. |
| ZAV-LRN-021Discuss turn | Catalogued | A per-turn record would be the strongest evidence for 3.3, because it would show each rewrite in order with its reason. It is defined and nothing has been built. |
What xAPI does not evidence here
The whole of LO2 sits outside the platform. Nothing in the record shows that the task selected at 2.1 is genuinely one the learner is responsible for, or that the information identified at 2.3 is what their employer actually restricts.
The two sources used to check an output (4.3), the errors found in it (4.4) and the reasons for each amendment (4.6) exist as the learner's work, not as platform activity, unless the learner submits them. The record cannot show that the amended output was used in the job (5.1), that the time estimate at 5.2 is sound, or that AI use was declared in line with the employer's rules (5.4).
Those need product evidence annotated by the learner, witness testimony from the line manager for 5.1 and 5.4, and the recorded professional discussion for LO1 and 4.7.
This unit gives the learner the skills to keep their own working practices up to date as AI and automation change what their job involves. Learners describe what is changing in the tasks they carry out, compare that with the skills they hold, plan and carry out one piece of their own learning, apply the new skill to a real task, seek and act on feedback, and review what it changed.
A design note that is load-bearing: this unit assesses what the learner does, not the attitude they report holding. Every criterion is an observable action or a description of a real event. No criterion asks the learner to demonstrate that they hold a growth mindset, or asks an assessor to judge their attitude, resilience or confidence. Those would not be assessable. The mindset is what the unit builds. The actions are what it assesses.
| Ref | The learner can |
|---|---|
| 1.1 | Describe the tasks in own role that are most likely to change as AI and automation are introduced |
| 1.2 | Describe the parts of own role that are least likely to be carried out by a machine, giving reasons |
| 1.3 | Outline the skills that are becoming more valuable in own area of work |
| 1.4 | Describe the different views held by people in own workplace about these changes, and the reasons given for them |
| 1.5 | Describe the difference between a fixed mindset and a growth mindset, using an example from own working experience |
| Ref | The learner can |
|---|---|
| 2.1 | Identify own current strengths in relation to the changing tasks in own role |
| 2.2 | Identify the skills own role will require that are not yet held |
| 2.3 | Select one skill to develop, and state the reasons for the choice |
| 2.4 | Identify the sources of help available for developing that skill, inside and outside own workplace |
| Ref | The learner can |
|---|---|
| 3.1 | Produce a plan for developing the selected skill, stating the actions to be taken, the dates for them and how progress will be measured |
| 3.2 | Carry out the actions set out in the plan |
| 3.3 | Describe the difficulties met while carrying out the plan, and the actions taken in response |
| 3.4 | Adapt the plan in response to what was learned, and state what was changed |
| Ref | The learner can |
|---|---|
| 4.1 | Use the newly developed skill to carry out a task in own role |
| 4.2 | Describe which parts of the task went as planned and which did not |
| 4.3 | Request feedback on the task from a person who saw the result of it |
| 4.4 | Describe the feedback received, and the changes made to own working practice in response |
| 4.5 | Describe an error or setback in own recent work, and the change it led to in how that work is now carried out |
| Ref | The learner can |
|---|---|
| 5.1 | Compare own skills at the end of the unit with those identified at the start |
| 5.2 | Review how far the actions taken changed own performance of a task in own role |
| 5.3 | Identify what would be done differently at the next change to own role |
| 5.4 | State the next skill to develop, and the reasons for the choice |
5 learning outcomes, 22 assessment criteria.
Well defined but may be complex and non-routine: the brief is to keep own skills current, which is defined; the non-routine element is the difficulty met at 3.3. Interpret and evaluate: 5.2. Aware of different perspectives: 1.4. Review effectiveness: LO5.
Boundary: the learner adapts their own work. Helping colleagues or a department to adapt is addressed at Level 5 and is outside this unit.
This unit needs a particular kind of care. Zavmo emits mindset signals, and this unit deliberately does not assess mindset. The signals below that read on growth or fixed language are teaching signals: they tell the tutor how to respond next. They are not evidence for any criterion in this unit, because no criterion in this unit assesses an attitude. Putting them to an assessor as though they were would break the design note above and would be the wrong thing to do.
| Event | Status | What it can be put against |
|---|---|---|
| ZAV-LRN-001Unit started | Observed | Fixes the start point that 5.1 compares back to. |
| ZAV-LRN-032Knowledge check answered | Observed | The learner's answers behind 1.1 to 1.5, including the worked example at 1.5. |
| ZAV-LRN-050Learning outcome met | Observed | Carries the outcome and criteria references for LO1 to LO5. |
| ZAV-MP-006Reflection captured | Wired | The learner's written or spoken reflection. The natural home for 3.3, 4.2, 4.5 and 5.3. Not yet seen firing in production. |
| ZAV-KRK-005Behaviour evidenced: self-report | Wired | The learner's own account of applying the skill at work. It is self-report and must be treated as such, which is why 4.3 asks for a person who saw the result. |
| ZAV-GM-001Growth language detected | Wired | Teaching signal only. Not evidence for any criterion in this unit. |
| ZAV-GM-002Fixed language detected | Wired | Teaching signal only. It must never be presented to an assessor as a judgement about a learner. |
| ZAV-GM-003Setback response: persisted | Wired | Teaching signal only. 4.5 asks the learner to describe a setback and the change it led to. That description is the evidence, not this event. |
| ZAV-GM-007Growth mindset score updated | Catalogued | A periodic recalculation. Defined only, nothing built, and it would not be assessment evidence in this unit if it were. |
What xAPI does not evidence here
Almost all of LO3 and LO4 happens away from the platform. Carrying out the actions in the plan (3.2), using the new skill on a real task (4.1), asking a person who saw the result for feedback (4.3) and changing working practice in response (4.4) are workplace acts and leave no statement.
The platform can show that a plan was submitted. It cannot show that the actions in it were carried out, that the dates in it were met, or that the difficulties described at 3.3 are the ones that actually arose.
The assessor needs the plan itself as product evidence, witness testimony from the person who gave the feedback at 4.3, and professional discussion for 4.5 and the whole of LO5. Because the mindset signals are unusable here by design, this unit leans on discussion more than the others in the Award.
This unit gives the learner the skills to take the data that already exists in their own work and turn it into a recommendation that someone will act on. The emphasis is on the telling rather than the crunching. Learners find out what the figures they see every week actually measure, what they leave out, and how the same numbers can support more than one reading. They then select a question from their own role, gather the data that bears on it, work out what it indicates, and put a recommendation to the person who decides. Scope is personal.
| Ref | The learner can |
|---|---|
| 1.1 | Identify the sources of data available in own area of work |
| 1.2 | Describe what a routine measure used in own work actually counts, and over what period |
| 1.3 | Identify what a routine measure used in own work leaves out |
| 1.4 | Describe how the same set of figures can support more than one reading |
| 1.5 | Describe the ways in which data used in own work can be incomplete or out of date |
| Ref | The learner can |
|---|---|
| 2.1 | State a question about own work that data could help to answer |
| 2.2 | Select the data that bears on that question, and state the reasons for the selection |
| 2.3 | Identify data that was available but not used, and state why it was set aside |
| 2.4 | Prepare the selected data into a form that can be worked with |
| 2.5 | Identify any gaps or errors in the prepared data and state how each was handled |
This stem uses the Level 3 descriptor clause directly.
| Ref | The learner can |
|---|---|
| 3.1 | Interpret the prepared data and state what it indicates in relation to the question |
| 3.2 | Use appropriate investigation to test whether that reading holds |
| 3.3 | Identify an alternative reading of the same data |
| 3.4 | Evaluate which reading the data better supports, giving reasons |
| 3.5 | State the limits of what the data can show |
| 3.6 | Identify where an AI tool was used in working with the data, and what was checked |
| Ref | The learner can |
|---|---|
| 4.1 | State a recommendation that follows from the interpretation |
| 4.2 | Present the recommendation in a form suited to the person who will decide |
| 4.3 | Select the figures that support the recommendation, and state why those were chosen |
| 4.4 | State the action being asked for, and by whom |
| 4.5 | Respond to a question or challenge about the recommendation |
| Ref | The learner can |
|---|---|
| 5.1 | Record what was decided following the recommendation |
| 5.2 | Review how effective the presentation of the data was in supporting the decision |
| 5.3 | Identify what would be done differently next time, giving reasons |
5 learning outcomes, 24 assessment criteria.
Well defined but may be complex and non-routine: the question is stated by the learner from their own role, so the problem is defined; the complexity arrives in the data being incomplete and supporting more than one reading. Interpret and evaluate: LO3. Aware of different perspectives: 1.4 and 3.3. Use appropriate investigation: 3.2. Review effectiveness: LO5.
Boundary: 3.4 asks the learner to evaluate which reading the data better supports. It does not ask them to analyse the dataset, which would be Level 4. Nothing here asks the learner to draw conclusions about anyone else's performance.
The platform holds the teaching for LO1 and, where the learner submits through Zavmo, the prepared data, the interpretation and the recommendation. The figures themselves, the meeting where the recommendation was put and the decision that followed all sit in the learner's workplace.
| Event | Status | What it can be put against |
|---|---|---|
| ZAV-LRN-003Learning outcomes viewed | Observed | The learner was shown the outcomes for this unit. Context for the portfolio. |
| ZAV-LRN-032Knowledge check answered | Observed | Carries the learner's answer. Bears on 1.1 to 1.5, particularly 1.4 where two readings are set out. |
| ZAV-LRN-050Learning outcome met | Observed | Ties the record to LO1 to LO5 through the outcome and criteria extensions. |
| ZAV-LRN-052Unit completed | Observed | All outcomes recorded as met for the unit. |
| ZAV-CRT-005Evidence submitted | Wired | The prepared data, the interpretation and the recommendation as submitted. Would bear on 2.4, 3.1 and 4.1. |
| ZAV-CRT-006Evidence validated | Wired | The platform's check on that submission. Formative, and it informs the assessor rather than deciding anything. |
| ZAV-BLM-005Bloom evidence: Evaluate | Wired | A marker that evaluation took place, which is the LO3 clause. Supporting only, and never a substitute for reading 3.4. |
| ZAV-COG-007Comprehension probe | Catalogued | Defined only. Nothing built, so it evidences nothing today. |
What xAPI does not evidence here
1.2 and 1.3 turn on what a measure used in the learner's own workplace actually counts and leaves out. The platform has no sight of that measure and cannot verify the learner's account of it.
4.2, 4.4 and 4.5 happen in front of the person who decides. 5.1 depends on that person making a decision and the learner recording it, and 5.2 depends on the learner's read of how the presentation landed.
The assessor needs the prepared data set and the recommendation as product evidence, witness testimony from the person the recommendation was put to for 4.5 and 5.1, and professional discussion covering 1.2 to 1.5 and the whole of LO5.
This unit gives the learner the knowledge and skills to use AI tools within the rules that apply to them, and to recognise when something has gone wrong. Learners find out what their workplace permits and forbids, what the law requires of them when handling other people's information, and how an AI system can produce a result that is unfair or harmful without anyone intending it. They then apply those rules to their own daily use of AI tools, record what they did, spot a risk in their own work and report it to the person responsible. Scope is personal, and the learner's duty ends at reporting. Deciding what to do about a risk sits above this level.
| Ref | The learner can |
|---|---|
| 1.1 | Identify the workplace policies that apply to own use of AI tools |
| 1.2 | State which categories of information must not be entered into an AI tool, and why |
| 1.3 | Outline the duties that data protection law places on the learner when handling other people's information |
| 1.4 | Identify who is responsible for approving AI tools in own workplace |
| 1.5 | State what must be recorded or disclosed when AI has been used in a piece of work |
| Ref | The learner can |
|---|---|
| 2.1 | Describe how an AI tool can produce a result that disadvantages a group of people |
| 2.2 | Describe how information entered into an AI tool can reach people it was not intended for |
| 2.3 | Identify the kinds of decision in own area of work that should not be left to an AI tool, and the reasons |
| 2.4 | Describe the different views held about the responsible use of AI in own area of work, and the reasons given for them |
| Ref | The learner can |
|---|---|
| 3.1 | Check a proposed use of an AI tool against the applicable workplace policy before proceeding |
| 3.2 | Remove or withhold information that must not be entered into an AI tool |
| 3.3 | Record the use of an AI tool in a piece of own work in the manner the workplace requires |
| 3.4 | Select an approved tool for a task in own work, and state the reasons for the choice |
| 3.5 | Identify a situation in own work where the rules did not clearly apply, and state what was done |
| Ref | The learner can |
|---|---|
| 4.1 | Identify a risk arising from the use of an AI tool in own work |
| 4.2 | Use appropriate investigation to establish what happened |
| 4.3 | Report the risk to the person responsible, in the form the workplace requires |
| 4.4 | Record the response received and any action taken |
| Ref | The learner can |
|---|---|
| 5.1 | Review own recent use of AI tools against the applicable policies |
| 5.2 | Identify where own practice fell short, and state what has changed as a result |
| 5.3 | Evaluate how effective the workplace's rules were in the situations met, giving reasons |
5 learning outcomes, 21 assessment criteria.
Well defined but may be complex and non-routine: the rules are given, which keeps the problem defined; 3.5 introduces the non-routine case where they do not clearly apply. Interpret and evaluate: 5.3. Aware of different perspectives: 2.4. Use appropriate investigation: 4.2. Review effectiveness: LO5.
Boundary: the learner reports a risk (4.3). They do not decide the response, write policy, or assess organisational exposure. All three would be Level 5 or above. This is the unit most likely to drift upward if edited, because governance language is naturally strategic. Watch 4.3 and 5.3.
This is the unit where the distance between what the platform sees and what the assessor must judge is widest. LO1 and LO2 are knowledge outcomes, taught and checked inside Zavmo. The whole of LO3 and LO4 is workplace conduct, and Zavmo has no sight of what a learner does in a tool that is not Zavmo. The record supports this unit at the front and falls silent at the back.
| Event | Status | What it can be put against |
|---|---|---|
| ZAV-LRN-004Assessment criteria viewed | Observed | The learner was shown the criteria for this unit. Context for the portfolio. |
| ZAV-LRN-032Knowledge check answered | Observed | Carries the learner's answer. Bears on 1.1 to 1.5 and 2.1 to 2.4. |
| ZAV-ENG-006Learner-initiated question | Observed | Where the learner raised a rules question themselves. Supporting evidence for 3.5, which turns on noticing that the rules did not clearly apply. |
| ZAV-LRN-050Learning outcome met | Observed | Carries the outcome and criteria references for LO1 to LO5. |
| ZAV-MP-006Reflection captured | Wired | The learner's written or spoken account. The natural home for 3.5, 5.1 and 5.2. Not yet seen firing in production. |
| ZAV-CHA-022Validation fail | Wired | A platform check the learner did not pass first time. Formative, and useful context for a discussion. Not an assessment decision. |
| ZAV-CHA-023Validation appeal | Wired | The learner contested a platform validation outcome. Worth reading before a professional discussion on LO2. |
| ZAV-CRT-004Assessment criterion failed | Wired | Per-criterion attribution inside the platform's practice checks. It records a practice result and nothing more. |
| ZAV-COG-008Misconception detected | Catalogued | Defined only. Nothing built. |
What xAPI does not evidence here
Zavmo cannot see a policy check made before proceeding (3.1). It cannot see information that was withheld (3.2), because withholding leaves no artefact anywhere, in any system. It cannot see the workplace record of AI use (3.3), the report of a risk to the person responsible (4.3), or the response that came back (4.4).
Most importantly, it cannot see what a learner typed into a tool that is not Zavmo, which is exactly the conduct 1.2 and 3.2 are about. Any claim that the platform record demonstrates safe handling of restricted information would be false.
This unit rests on witness testimony from the person named at 4.3, the workplace's own records for 3.3 and 4.4, and a professional discussion that goes criterion by criterion through LO3 and LO4. The platform's contribution is to the knowledge outcomes, and the assessor should expect nothing more from it.
This unit gives the learner the skills to take a task they repeat every week and automate the part of it that never changes. Learners find out which kinds of work automate well and which do not, and why an automation that works in testing can fail in use. They then select a repeated task from their own role, set it up using tools available to them, test it against cases they choose including ones designed to break it, run it alongside the manual method until it has been shown to be reliable, and review whether the time saved was real. Scope is personal: the learner automates their own work, not a colleague's, and not a process the team depends on.
| Ref | The learner can |
|---|---|
| 1.1 | Describe the characteristics of a task that make it suitable for automation |
| 1.2 | Describe the characteristics of a task that make it unsuitable for automation |
| 1.3 | Identify the tools available in own workplace for automating routine work |
| 1.4 | Describe why an automation that works when tested can fail when in use |
| 1.5 | State what should happen when an automation fails |
| Ref | The learner can |
|---|---|
| 2.1 | Identify the tasks repeated each week in own role |
| 2.2 | Record how a selected task is carried out at present, step by step |
| 2.3 | Identify which steps of the task do not change between occurrences |
| 2.4 | Select the steps to be automated, and state the reasons for the selection |
| 2.5 | State the time the task takes at present, and how that was established |
| Ref | The learner can |
|---|---|
| 3.1 | Set up an automation for the selected steps using an available tool |
| 3.2 | Select test cases for the automation, including cases expected to fail |
| 3.3 | Run the automation against the selected test cases and record the results |
| 3.4 | Correct the automation in response to results that were not as expected |
| 3.5 | State the checks a person must still carry out, and at what point |
| Ref | The learner can |
|---|---|
| 4.1 | Run the automation alongside the manual method for an agreed period |
| 4.2 | Record occasions on which the automation produced an incorrect or unexpected result |
| 4.3 | Use appropriate investigation to establish the cause of an incorrect result |
| 4.4 | Correct the automation and record what was changed |
| 4.5 | State the point at which the automation was relied on without the manual method, and the evidence for that decision |
| Ref | The learner can |
|---|---|
| 5.1 | State the time the task takes following automation, and how that was established |
| 5.2 | Evaluate whether the time saved justified the effort of setting the automation up |
| 5.3 | Review how effective the testing was at finding problems before they occurred in use |
| 5.4 | Identify a further task in own work that the same approach could be applied to |
5 learning outcomes, 24 assessment criteria.
Well defined but may be complex and non-routine: the brief is to automate a repeated task in own work; the non-routine element is the automation failing in ways the learner must establish the cause of (4.3). Interpret and evaluate: 5.2. Use appropriate investigation: 4.3. Review effectiveness: LO5.
A deliberate word choice. The learner sets up an automation. They do not design one. Design is a Level 6 verb and using it here would mis-level the unit.
Boundary: nothing asks the learner to decide which of several processes the team should automate. That would be Level 4 or above.
The teaching for LO1 is in the platform. The automation is not. Everything from LO2 to LO5 is built, tested and run in the learner's own workplace tools, and none of that work emits an xAPI statement. What the record adds here is a reliable timeline: when the learner was taught what, and when each piece of work was submitted.
| Event | Status | What it can be put against |
|---|---|---|
| ZAV-LRN-001Unit started | Observed | Fixes the start of the unit, which matters for 4.1 where a period has to be agreed and run. |
| ZAV-LRN-031Content delivered | Observed | The teaching behind 1.1 to 1.5, including what was covered on failure modes. |
| ZAV-LRN-032Knowledge check answered | Observed | Carries the learner's answer. Bears on 1.1 to 1.5. |
| ZAV-LRN-050Learning outcome met | Observed | Carries the outcome and criteria references for LO1 to LO5. |
| ZAV-LRN-055Lesson session completed | Wired | Session boundaries. Useful for the guided hours record and for pacing. Not evidence of any criterion. |
| ZAV-CRT-005Evidence submitted | Wired | The step record, the test log and the timing record as submitted. Would bear on 2.2, 3.3 and 5.1. |
| ZAV-LRN-041Demonstration submitted | Wired | The same work where it is submitted through the demonstrate route rather than as evidence. |
| ZAV-LRN-062Learning modality attempted | Catalogued | Rehearsing test-case selection through a case study would sit here. Defined only, nothing built. |
What xAPI does not evidence here
The automation itself, the test cases and their results (3.2, 3.3), the corrections made to it (3.4, 4.4), the parallel running period (4.1), the occasions it produced a wrong result (4.2) and the timings before and after (2.5, 5.1) are all workplace artefacts. The platform sees a submission, not the thing submitted working.
The assessor needs the automation itself or a demonstration of it, the learner's test log, the timing record on the same basis at 2.5 and 5.1, and witness testimony that the parallel running actually happened over the period claimed.
Professional discussion should cover 4.5 in particular. Deciding to stop running the manual method is a judgement, the record of it is the learner's own, and nothing in the platform corroborates it.
This unit is the applied project that carries the Diploma to its size. Over a period long enough for things to go wrong, the learner takes one recurring process in their own work, records how it runs today and what it costs in time, redesigns it using the practices from the earlier units, runs the new version until it fails at least once, fixes what failed, measures the before and after, and reports to their manager with a recommendation about whether to keep it.
The brief is given, and that is what holds the project at Level 3. What is not given is the process, the approach, the failures or the answer.
Delivery note. The 100 hours are almost entirely the learner's own work, carried out in their job. Guided hours are low by design.
| Ref | The learner can |
|---|---|
| 1.1 | Select a recurring process in own work to improve, within the project brief |
| 1.2 | Record how the process runs at present, step by step |
| 1.3 | Establish what the process costs in time at present, and state how that was established |
| 1.4 | Identify the points in the process where errors or delays occur |
| 1.5 | State the requirements the improved process must continue to meet |
| Ref | The learner can |
|---|---|
| 2.1 | Identify the steps of the process that could be improved using AI or automation |
| 2.2 | Select the changes to be made, and state the reasons for the selection |
| 2.3 | Identify a change that was considered and set aside, and state why |
| 2.4 | State what is expected to improve, and how that will be measured |
| 2.5 | Identify what could go wrong, and state what will be done if it does |
| 2.6 | Check the planned changes against workplace rules on the use of AI |
| Ref | The learner can |
|---|---|
| 3.1 | Carry out the planned changes to the process |
| 3.2 | Run the improved process over an agreed period |
| 3.3 | Keep a record of how the improved process performed, including occasions when it did not work |
| 3.4 | Record any point at which the original method had to be returned to, and the reasons |
| Ref | The learner can |
|---|---|
| 4.1 | Identify a problem that arose during the period the improved process ran |
| 4.2 | Use appropriate investigation to establish its cause |
| 4.3 | Select and carry out a correction, and state the reasons for the choice |
| 4.4 | Record whether the correction resolved the problem |
| 4.5 | Identify a problem that was not resolved, and state what was done about it |
| Ref | The learner can |
|---|---|
| 5.1 | Establish what the improved process costs in time, on the same basis as 1.3 |
| 5.2 | Interpret the before and after measurements and state what they indicate |
| 5.3 | Evaluate whether the improvement met what was expected at 2.4, giving reasons |
| 5.4 | State a recommendation to own manager about whether to keep the improved process |
| 5.5 | Present the recommendation with the evidence that supports it |
| 5.6 | Review own approach to the project and identify what would be done differently |
5 learning outcomes, 26 assessment criteria.
This is the unit most at risk of drifting above Level 3, because extended project work invites higher-order language. Three things hold it down.
The brief is given. "Improve one recurring process in your own work" is stated for the learner. They choose the instance, not the problem. The problem therefore remains well defined, and the complexity comes from the process and its failures.
The verbs stay at level. Establish, record, identify, select, state, carry out, interpret, evaluate, review. Not analyse (4), not design or critically evaluate (6), not reformulate (7).
The scope stays personal. 5.4 recommends to the learner's own manager about the learner's own process. 5.3 evaluates against the learner's own stated expectation, not against organisational objectives.
What would push it to Level 4: letting the learner choose which of several processes to improve on comparative benefit, or asking them to evaluate the improvement's implications beyond their own role. The assessment guidance states both exclusions, because a motivated learner will drift into them and an assessor may not notice.
Of this unit's 100 hours, 10 are guided. The project runs in the learner's job over a period long enough for it to go wrong. The platform record here is thin by design and an assessor should expect it to be. What it does give is the one thing a long project needs most: dated submissions, so that the sequence the learner describes can be checked against the sequence that was recorded.
| Event | Status | What it can be put against |
|---|---|---|
| ZAV-LRN-001Unit started | Observed | Fixes the start of the project period. |
| ZAV-LRN-050Learning outcome met | Observed | Carries the outcome and criteria references for LO1 to LO5. |
| ZAV-LRN-052Unit completed | Observed | All outcomes recorded as met for the unit. |
| ZAV-MP-006Reflection captured | Wired | 5.6 asks the learner to review their own approach to the project. This is where that would sit. Not yet seen firing in production. |
| ZAV-CRT-005Evidence submitted | Wired | The process record, the plan, the measurements and the recommendation, each dated as submitted. |
| ZAV-CRT-006Evidence validated | Wired | The platform's check on those submissions. Formative only. |
| ZAV-OFQ-005Ofqual unit completed | Wired | The regulated-route completion statement for a unit. Wired and never observed. |
| ZAV-OFQ-006Ofqual qualification completed | Wired | The same for the Diploma. Wired and never observed, so at first registration the completion record should be verified rather than relied on. |
| ZAV-CRT-010Certificate generated | Catalogued | Defined only. Nothing built. |
What xAPI does not evidence here
Almost all of it. The record of how the process runs and what it costs (1.2, 1.3), the running of the improved version (3.1 to 3.4), the problems and the corrections (4.1 to 4.5) and the after measurement (5.1) all happen in the job.
The dated submissions do real work for authentication, because a project claimed to have run over three months and submitted in one sitting is visible as such. That is a check on plausibility, not proof of the work.
This unit is carried by product evidence, by witness testimony from the manager the recommendation goes to at 5.4, and by a substantial professional discussion covering LO3 and LO4. Given the size of this unit, the discussion should be planned as more than one session.
The same model applies to every unit.
Portfolio of evidence from real work. Assessment is by portfolio drawn from work the learner is already responsible for, gathered over the period of the unit. There is no examination.
The AI teaches. A human assessor decides. Zavmo's AI tutors deliver the learning and prompt the learner to produce and submit evidence. The AI does not make the assessment decision. Every decision on every criterion is made by a named, occupationally competent, appropriately qualified human assessor, internally verified by a qualified IQA against a sampling plan, and sampled by Gateway's External Quality Assurer.
How evidence is captured. Learner activity in the platform is captured as xAPI statements and assembled into the portfolio: the tasks they selected, the instruction sets they wrote and rewrote, the outputs the tool returned, the checks they ran, the amendments they made and the reasons they gave. This gives the assessor a time-stamped record of the learner's process rather than only a finished artefact. That is unusually strong evidence for criteria such as ZFF-AI-03 3.3 and 4.6. The xAPI record is evidence presented to the assessor. It is not an assessment decision.
Professional discussion is mandatory. At least one recorded professional discussion per unit, conducted by the qualified assessor. This is the primary control for authenticating the learner at distance and confirming the portfolio is their own work.
Declared AI use. Learners are expected to use AI in producing evidence, because that is the subject of the qualification. All AI use in evidence must be declared. The assessment decision rests on the learner's judgement about the AI output, not on the polish of the output itself, and that judgement is confirmed in live discussion.
Suggested evidence. Records of professional discussion and oral questioning for the knowledge outcomes. Product evidence, annotated by the learner, for the skills outcomes. Witness testimony from a line manager where a criterion turns on something that happened in real work. Reflective accounts for the review outcomes. These are suggestions and centres could use other evidence, provided the criteria are covered and the evidence can be internally and externally verified.
Real-work grounding. The tasks used must be tasks the learner is already responsible for. Simulated tasks should only be used where a learner's role genuinely offers no suitable real task, and the reason must be recorded.
Listed plainly, because we would rather you had this list than found it. These are the items from the full pack that bear on Level 3. One further item in the pack concerns two Level 5 units and is not repeated here.
Nine of the eleven units are drafted but not reviewed by an assessor. They are written to the descriptors and internally checked. Nobody with assessment experience has read them. This is the largest single gap.
TQT is allocated, not measured. The unit hours are judgements that produce a defensible total. If any unit's hours are revised down, both Diplomas need re-checking against the 370 threshold. The Level 3 Diploma has only 20 hours of headroom.
Whether AI-led tutoring counts as guided learning is unresolved. We have shown GLH as indicative throughout. The taught and applied split in section 2.4 depends on the answer and we would like Gateway's view.
Whether knowledge criteria can be evidenced through recorded tutoring dialogue rather than written tests is unresolved. We have assumed they can, which is favourable to our model, so it should not be taken on our say-so. If written assessment is required for knowledge outcomes, section 2.4 needs revisiting.
The assessor layer does not exist yet. We do not currently employ occupationally competent assessors or a qualified IQA. The model in section 6 describes what we will put in place, not what is running today. We would like to talk about the sequence.
The two Diplomas have not been checked against qualifications already on the register. ZFF-DA-03 is the unit most likely to overlap something existing.
Demand figures are excluded on purpose. We hold internal estimates of which fluencies are most in demand. They are not evidence and they are not in this document.
All 145 criteria were tested on four questions. Could an assessor see whether the criterion was met, or does it require judging an attitude. Is it at Level 3 against the descriptor in section 3. Does it contradict anything the unit itself states. Could a learner in a real job produce evidence for it.
No criterion has been changed. Every item below is a finding and a proposal, for the assessor of record to accept, amend or reject. Two of them were already known and are repeated so that the list is complete: the guided learning share in ZFF-GV-03, and the condensed unit aims.
Chips show what each proposal would require. Change proposed means an edit to the specification. Guidance only means the criteria stand and the assessment guidance carries the answer. No change means it was tested and it holds.
The scope rule in section 3 is stated absolutely, and three units cross it. Section 3 says that the moment an outcome reaches a colleague, a team or a department, it has left Level 3. But ZFF-DA-03 4.2, 4.4 and 4.5 require the learner to present a recommendation to the person who decides and answer a challenge to it, ZFF-PJ-03 5.4 and 5.5 recommend to the learner's manager, and ZFF-GM-03 4.3 requires feedback from a person who saw the result. Those are right, and the rule as written appears to forbid them.
The rule is really about whose work is being changed, not about who is in the room. As stated it does not say so, and that is the kind of internal contradiction an external quality assurer reads first.
Change proposed Reword the section 3 sentence to separate the two: the work under improvement stays the learner's own, while the audience for a recommendation or a piece of feedback may be another person. No criterion changes.
ZFF-GV-03 gives 60% of its hours to guided learning, against 50% or less everywhere else. The unit shows 30 guided hours against 50 TQT. The comparison across the Diploma is ZFF-AI-03 at 50%, ZFF-GM-03 at 50%, ZFF-DA-03 at 50%, ZFF-AU-03 at 42% and ZFF-PJ-03 at 10%. ZFF-GV-03 is the only unit above half, and it is a unit whose skills outcomes are almost entirely workplace conduct, which argues for fewer guided hours rather than more.
Change proposed Reduce to 25 guided hours, matching the other 50 TQT unit. The knock-on is small and needs to be carried through: the Diploma total falls from 155 to 150 guided hours in the unit index and in section 2.4, and the guided share in section 2.4 moves from 40% to 38%. TQT, credits and the Award are unaffected.
Some unit aims were condensed and lost their trailing scope clause. ZFF-DA-03's aim now ends "Scope is personal." The fuller original ended by saying what the recommendation is not about, namely a department's performance. ZFF-GM-03 and ZFF-PJ-03 carry no scope sentence in their aims at all, while ZFF-AI-03, ZFF-GV-03 and ZFF-AU-03 each carry a full one.
Scope is what holds these units at Level 3. The aim is the first thing a reviewer reads and the last thing a centre reads before writing an assessment plan, so it is the wrong place to be terse.
Change proposed Reinstate the fuller wording in ZFF-DA-03, and add matching clauses to ZFF-GM-03 and ZFF-PJ-03 so that all six aims state the boundary in the same shape.
ZFF-PJ-03's aim uses a verb its own level check rules out. The aim says the learner "redesigns" the process. The same unit's level check states that the verbs stay at level and that design is not among them, and ZFF-AU-03's level check says plainly that design is a Level 6 verb and using it would mis-level the unit. No criterion uses it, so this is confined to the aim, but it is the sentence a reviewer reads before the criteria.
Change proposed Replace "redesigns it" with "changes it" or "sets up an improved version of it". ZFF-AU-03's aim also contains "designed to break it", which describes the test cases rather than an act of the learner; that one is defensible and we suggest leaving it.
Nine criteria presuppose an event that may not happen. They are assessable when the event occurs and unachievable when it does not, and nothing currently tells a centre what to do in the second case.
ZFF-GM-03 4.3 needs a person willing to give feedback. ZFF-DA-03 5.1 needs a decision to be made and communicated. ZFF-GV-03 3.5 needs a situation where the rules did not clearly apply, 4.4 needs a response to a reported risk, and 5.2 is worded so that the learner's practice must have fallen short. ZFF-AU-03 4.2 and 4.3 need the automation to produce a wrong result. ZFF-PJ-03 4.1 needs a problem to arise and 4.5 needs one to remain unresolved.
Two of the unit aims lean into this, saying the learner runs the automation until it is shown reliable and runs the new process until it fails at least once. A qualification should not depend on a failure arriving to order.
Guidance only The criteria are sound. Add a nil case to the assessment guidance for each: what the learner records instead, and how the assessor tests the same underlying skill. For ZFF-AU-03 the fallback is already present in the unit, since 3.2 requires test cases expected to fail.
ZFF-AI-03 4.1 is a knowledge criterion under a skills outcome. LO4 reads "Be able to interpret and evaluate the output of an AI tool", and 4.1 asks the learner to describe what critical thinking means when applied to an AI output. Describing a concept is knowledge. The other six criteria in LO4 are all acts on a real output.
It is a small thing and it is exactly the kind of small thing an external quality assurer picks up, because the convention that "be able to" outcomes carry skills criteria is well established.
Change proposed Move it into LO1 as a seventh criterion, where the other knowledge sits. The alternative, leaving it and noting the reason in the assessment guidance, is defensible but weaker.
ZFF-GM-03 LO2's stem verb is not discharged by any of its criteria. The outcome is "Be able to compare own current skills with the skills own role will require", and its four criteria ask the learner to identify strengths, identify missing skills, select one and identify sources of help. None of them asks for a comparison. The comparing happens at 5.1, under LO5.
The same pattern appears in a milder form at ZFF-PJ-03 LO2, where no criterion says "plan", although 2.1 to 2.6 taken together plainly constitute planning. We would leave that one.
Change proposed Either restem LO2 to match what its criteria do, for example "Be able to identify the skills own role will require", or add a comparison criterion. Restemming is the smaller change and does not touch a criterion.
ZFF-AI-03's level check claims more than its criteria support. It maps the descriptor clause on being aware of different perspectives or approaches to "1.1 to 1.3, and 1.6". Criteria 1.1 to 1.3 describe how a language model produces answers and why it can be wrong. That is the nature of the area, not a set of perspectives, and 1.1 and 1.2 are already claimed against that clause in the row above. Only 1.6 genuinely answers it.
Change proposed Narrow the mapping to 1.6, and add 2.2 if a second reference is wanted, since identifying a task that should not be given to an AI tool and giving reasons carries a competing approach. The claim is weaker and it is true.
ZFF-GM-03's level check maps "interpret and evaluate" to a criterion that reviews. The check cites 5.2, whose wording is "Review how far the actions taken changed own performance of a task in own role". Review is a different descriptor clause, and LO5 is already claimed against it in the same sentence. Nothing in the unit uses the verb evaluate.
This is the same class of problem as the one already known on the Level 5 page, where a verb is used in one place and ruled out in another. Here it is a mapping the wording does not carry.
Change proposed Cite 5.1, which compares skills at the end against those identified at the start, and 4.4, where feedback is weighed and acted on. If neither is thought sufficient, the honest course is to say the clause is met at qualification level rather than in this unit.
ZFF-GM-03's level check does not map "use appropriate investigation to inform actions" at all. Every other unit maps it: ZFF-AI-03 at 4.3 and 4.4, ZFF-DA-03 at 3.2, ZFF-GV-03 at 4.2, ZFF-AU-03 at 4.3 and ZFF-PJ-03 at 4.2. ZFF-GM-03 is one of the two Award units, so between them ZFF-AI-03 and ZFF-GM-03 must carry the descriptor for the Award, and the omission is visible.
Change proposed Cite 2.4, which requires the learner to identify sources of help inside and outside their workplace. That is investigation informing an action, and it needs no criterion change.
ZFF-AU-03's level check does not map "aware of different perspectives or approaches". The unit does contain the material: 1.1 and 1.2 set out what makes a task suitable and unsuitable for automation, and 2.4 requires reasons for the steps selected. The clause is simply not claimed.
A descriptor clause does not have to be met by every unit individually, only by the qualification. If that is the intended reading it should be stated, because at present five units map the clause and one silently does not.
Change proposed Either cite 1.1 and 1.2 in the level check, or add a line to section 3 saying the descriptor is evidenced across the qualification rather than unit by unit.
Four criteria repeat in substance across units, and one learner could satisfy them all with one piece of evidence. The "different views held by people in own area of work" criterion appears three times, at ZFF-AI-03 1.6, ZFF-GM-03 1.4 and ZFF-GV-03 2.4. The restricted information criterion appears at ZFF-AI-03 2.3 and again at ZFF-GV-03 1.2. Declaring AI use appears at ZFF-AI-03 5.4 and again at ZFF-GV-03 1.5 and 3.3. What happens to information entered into a tool appears at ZFF-AI-03 1.5 and ZFF-GV-03 2.2.
Each is properly placed in its own unit and the subject differs slightly each time. The risk is not the duplication, it is a portfolio in which the same paragraph is submitted three times and passed three times.
Guidance only Keep the criteria. State in the assessment guidance that the same piece of evidence may not be counted against more than one of these, and say what the distinct focus of each is.
ZFF-GV-03 4.1 and 4.2 do not agree about whether something has happened. 4.1 asks the learner to identify a risk arising from the use of an AI tool, which reads as prospective. 4.2 asks them to use appropriate investigation to establish what happened, which reads as an incident after the fact. A risk that has not materialised has no "what happened", and a learner will be told two different things by the two criteria.
Change proposed Align 4.2 to the prospective reading at the next revision, for example establishing how the risk arises and what it could affect. Until then, guidance should say that either reading is acceptable and the assessor should record which one the learner took.
Two units measure time to different standards. ZFF-AU-03 2.5 and 5.1 both require the learner to state the time a task takes "and how that was established". ZFF-PJ-03 1.3 and 5.1 do the same. ZFF-AI-03 5.2 asks the learner to "estimate the time added or saved" with no basis clause at all, which makes it the one time criterion in the Diploma that an assessor cannot test.
ZFF-AI-03 5.2 also sits in the Award, so it is likely to be the first time criterion any learner meets.
Change proposed Add the same basis clause to ZFF-AI-03 5.2 at the next revision so that all four read alike. Until then, guidance should require the basis of the estimate to be recorded.
Three criteria assess an act that leaves no artefact. ZFF-GV-03 3.1 requires a policy check made before proceeding, and the checking is a moment, not a document. ZFF-GV-03 3.2 requires information to be removed or withheld, and an absence cannot be shown. ZFF-AI-03 1.5 requires the learner to describe what happens to information entered into the AI tools their workplace uses, which many learners cannot establish because the vendor does not say and the employer has not written it down.
These are the right things to assess. They are the three where a centre is most likely to accept a bare assertion.
Guidance only Name the evidence route for each. For 3.1 and 3.2, a contemporaneous record made by the learner plus targeted oral questioning in the professional discussion. For ZFF-AI-03 1.5, the tool's own published terms and the workplace policy, with the learner recording where the answer could not be found and what they did about it.
ZFF-GV-03 5.3 judges the workplace's rules rather than the learner's own work. It asks the learner to evaluate how effective the workplace's rules were in the situations met. The unit's own boundary note already says to watch this one, and the unit aim says the learner's duty ends at reporting.
On balance it holds, because "in the situations met" ties the judgement to cases the learner personally encountered rather than to the policy as a whole. That is a review of the learner's own experience of a rule, which is at level. It is a fine distinction and it is not written down anywhere.
No change Keep 5.3 as worded, and state the reasoning in the assessment guidance so that a centre does not read it as an invitation to appraise organisational policy.
Tested and holding. Three things were looked for across all 145 criteria and not found, and they are worth recording as checked.
No criterion asks an assessor to judge an attitude, a level of confidence or a state of mind. ZFF-GM-03 is the unit most at risk of it and its design note is doing real work. No criterion uses analyse, critically analyse, design or reformulate, and the only appearances of those words are in the level checks that rule them out and in the ZFF-PJ-03 aim at item 4 above. Scope stays personal in every criterion, subject to item 1.
A small cluster of criteria are bare acts and would sit below Level 3 if read alone: ZFF-AI-03 3.2, ZFF-GM-03 3.2 and ZFF-PJ-03 3.1 all simply require the learner to do the thing. Each is the load-bearing step that a later criterion in the same outcome reviews or evaluates, which is how a Level 3 outcome is properly built.
No change Recorded as checked.
It is the assessor's copy of the Level 3 specifications. Print it for moderation, or read it here. Every criterion an assessor will judge against is on this page, in the wording it will be judged in.