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Prove your health programme changed something

Community health programmes end with attendance counts and anecdotes. Funders increasingly want outcome deltas, and retrofitting measurement after the programme is over is impossible.

The short way: A baseline wave at enrolment and matched follow-ups after — the same measures, compared across waves, the outcome story funders ask for.

Ready-made templates for this

Prefer to start from a questionnaire rather than a description? These are already written.

Type this — that’s the whole job

“A smoking cessation programme evaluation: baseline habits and confidence at enrolment, then the same questions at 3 months”

Build it now — free

Free to start. The Pro plan adds email invitation tracking. Compare plans

No setup, no tutorial. The words above go with you — review what the AI builds, then share the link.

How it works — three steps

  1. 1

    Describe the programme and outcomes; the AI drafts matched baseline measures.

  2. 2

    Duplicate for the follow-up wave — same questions, new collector, clean comparison.

  3. 3

    Invite the cohort by personal links so waves join per participant.

What’s doing the work

Survey copy

The follow-up wave is a one-click duplicate — identical wording, which is what makes deltas valid.

Email invitation trackingPro

Personal links let waves be joined per participant without asking identity twice.

CSV export

Wave data exports cleanly for whatever stats tool the evaluation plan names.

Questions people ask

How do we link baseline and follow-up anonymously?

Personal invitation links join waves without identity questions; for stricter anonymity, a self-generated code question does the same with zero stored identity.

What follow-up windows should we use?

Whatever your logic model claims — commonly 3 and 12 months. The cadence tooling makes extra waves cheap, so measure the claim you actually make.

Minutes, not weeks. That’s the deal.

Start free

Free to start. The Pro plan adds email invitation tracking.