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Learning & impact· Medium risk

Outcome measures shortlist

When to use: at the start of a programme cycle, before you commit to reporting. How to use: give AI your desired outcomes and capacity constraints — get 3–5 measures you can actually collect.

When to use this prompt

Reach for this prompt when you need to when to use: at the start of a programme cycle, before you commit to reporting. How to use: give AI your desired outcomes and capacity constraints — get 3–5 measures you can actually collect. It's designed for Programme Manager. Typically used within Evaluation work.

Draft with AI, then have a colleague verify facts and tone before use.

How to use it

  1. 1

    Gather your inputs

    Have your local context, audience and goal to hand.
  2. 2

    Fill in the template

    Copy the template below and replace every bracketed placeholder with real, local context. Keep names and safeguarding details out.
  3. 3

    Run it in your AI tool

    Paste into your preferred AI assistant. Ask a follow-up if the output misses your association's tone or context.
  4. 4

    Review with the checklist

    Work through the human-review checklist below before you send, publish or act on the output.

Prefer a guided flow? Adapt with the guided builder — it fills placeholders from your association profile.

Prompt template

For our {PROGRAMME} with these desired outcomes ({OUTCOMES}), propose 3–5 outcome measures we can realistically collect with {CAPACITY}. For each: what's measured, how, from whom, how often, what "good" looks like, and one risk of misinterpretation. Avoid vanity metrics. Warn if any measure requires a validated instrument we may not have rights to use.

Replace bracketed placeholders with real context. Never paste identifying details about children, health or safeguarding cases.

Worked example

Outcomes: increased confidence, employment progression\nCapacity: 0.2 FTE data support

What good output looks like

A short, deliverable outcome measurement plan with warnings on capacity risk.

Why this prompt works

Prevents evaluation plans that collapse under the weight of what's promised.

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