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Questions to ask MIS, and what a good answer looks like

A set of questions that a finance or senior leader can ask without being an ILR technician, each with the answer that should reassure you and the answer that should not.

Funding year2026–27Awaiting verificationReviewed18 September 2026See the sourcesReport an issue

Enough detail to do the job and hold a sensible conversation with MIS or Finance.

How to read this page
  • Official requirement: Stated by the official funding document named in the sources for this page.
  • FEFunding explanation: Our plain-English explanation. Helpful, but the official document is the rule.
  • Worked example: An illustration of how the rule applies in one situation. Not a universal rule.
  • Recommended good practice: Operational advice from FEFunding. Not itself a funding requirement.

Why the question matters more than the number

You do not need to understand the ILR to hold it to account. You need to know which questions expose a problem.

The best questions are about what is known to be wrong, not about whether everything is right. Nobody can answer the second one honestly.

A question like 'is our data accurate?' invites reassurance. A question like 'how many learners are recorded as in learning past their planned end date, and what is the largest reason?' invites a number, and the number is either small and explained or it is a problem.

The pattern to look for in an answer is specificity. A good answer names a figure, a cause and an owner. A weak answer describes a process.

The questions below map onto measurable positions in the return, so each can be answered from a report rather than from opinion. Where a college cannot produce the number, that is itself the finding.

Four questions that work all year round

Four questions cover most of what can go wrong. Ask the same ones every month so the trend is visible rather than the snapshot.

  • How many learners are recorded as in learning who have not attended recently?
  • How many aims have ended with no outcome recorded?
  • What moved in earnings since last month, and why?
  • What is outstanding on the data quality and monitoring reports?

Each of these has an observable answer that comes from a report rather than from an opinion, which is what makes them useful. A college that cannot produce the number has told you something important without meaning to.

Asking the same four every month turns them into a trend. A count that rises month on month is a control failure, and the trend makes that visible in a way a single figure never does.

The fourth question is the one that most often uncovers something. Reports that arrive and are not worked accumulate quietly, and they test exactly what an audit will test.

FEFunding explanation

Appearing on a data-quality or funding-monitoring report usually means a record has been flagged for investigation, not that it is confirmed wrong. Some flagged records are entirely correct and simply need evidence.

FEFunding explanation

In further education, funding is not paid simply because a college says it taught someone. It is earned by recording what was delivered in the Individualised Learner Record, and that record is what the funding calculation, the performance measures and any audit all read from.

The first two map to standing reports over the current return: learning deliveries with no actual end date whose planned end date has passed, and learning deliveries with an actual end date and no outcome recorded.

The third is the period-on-period comparison of the funding reports, worked at total level then by funding model then by curriculum area.

The fourth is the exception log: every flagged record with its outcome recorded as corrected, evidenced, or awaiting evidence.

What a weak answer sounds like

Weak answers describe a process. Good answers give a number and name a person.

None of this means anybody is being evasive. Most weak answers come from people who have never been asked for the number before.

"We run a report on that" tells you a report exists, not what it says. "It is under control" is a judgement, not a measure. "The auditors did not raise it" describes a sample at a point in time.

A good answer has three parts: the number, the reason, and who owns it. If any part is missing, the follow-up question writes itself.

Where the answer genuinely is not known, that is useful information too. It usually means nobody has been asked to produce it, which is a fixable problem rather than a concealed one.

Build the four measures into a standing one-page report with the count, the trend and the named owner for each. That converts the monthly conversation from an investigation into a review.

Report by curriculum area rather than in total. A college-level figure hides the one area where the process has broken, which is exactly the thing worth finding.

Worked examples

Worked example

Before the December return

A principal wants assurance before the return that sets next year's 16 to 19 allocation.

  1. Ask. How many students are recorded as in learning who have not attended in the last four weeks?
  2. Good answer. A specific number, a reason for each group, and confirmation that curriculum has verified the list.
  3. Weak answer. We run a report on that. Or: it is under control.
  4. Ask. Do planned hours reconcile to the delivered timetable for every programme, and can you show me the reconciliation?
  5. Good answer. Yes, here it is, and these three programmes needed correcting.
  6. Weak answer. They are set from the programme template.

Two questions, each with an observable answer, cover the two largest sources of error in the return that sets next year's income.

Examples of useful questions, not a required assurance framework.

Worked example

Monthly, at any time of year

A finance director reviewing the monthly position.

  1. Ask. What moved in earnings since last month, and why?
  2. Good answer. A written explanation identifying the causes, with the data changes behind them.
  3. Ask. How many aims have ended with no outcome recorded?
  4. Good answer. A number that is falling, with a date by which it will be zero.
  5. Ask. What is on the funding monitoring or data quality reports that we have not answered?
  6. Good answer. A short list with owners, or nothing outstanding.

Three questions that between them cover funding accuracy, performance risk and assurance exposure.

Adapt to the streams your college actually delivers.

Common pitfalls

Asking whether the data is right

What goes wrong: The question has only one socially acceptable answer, so it produces no information.

Consequence: Leaders believe they have assurance when they have only received reassurance.

Prevention: Ask for a number and a cause. Ask what is known to be wrong rather than whether anything is.

What this means for your role

Senior leader, principal or COO

You can hold the return to account without operating it.

  • Use the same three or four questions every month so the trend is visible.
  • Ask for the number, not the process.

Auditor, governor or assurance

Assurance reporting should name risks and controls, not only forecasts.

  • Ask what the last funding audit found and what changed as a result.
  • Ask what would have to go wrong for the funding position to be materially misstated.

See it play out

Sources

These are the official documents this page rests on. Where a figure, a deadline or an exact rule matters, the document is the authority and this page is the explanation.

Individualised Learner Record (ILR) collection (opens in a new tab)

GOV.UKOfficial funding documentAwaiting first verification

Funding allocations and data returns information (opens in a new tab)

GOV.UKOfficial funding documentAwaiting first verification

Adult Skills Fund funding and performance management rules 2026 to 2027 (opens in a new tab)

GOV.UKOfficial funding document2026–27Awaiting first verification

Content reused from GOV.UK is Crown copyright, used under the Open Government Licence. FEFunding is not endorsed by the Department for Education.