Form Builder App Starter · Industry version
Donor feedback and program outcome surveys on your own platform — evidence for funders, collected without per-response fees.
Nonprofits run on evidence: funders want outcome data, boards want donor sentiment, programs want to know what's working. Every survey behind a metered form tool taxes that evidence-gathering. This starter generates your own survey platform — waves, participants, outcomes — with results accumulating in a database you keep for the long haul.
01 · The problem
Outcome measurement is longitudinal by nature: the question that matters is not 'how did participants answer?' but 'how did the same participants answer six months later?' Generic survey tools treat every response as an anonymous one-off, so matching intake surveys to exit surveys becomes a manual identity puzzle — and the pre/post comparison funders actually fund quietly degrades into anecdote.
Survey pricing punishes exactly what nonprofits should do more of. Per-response tiers turn a broad donor listening exercise or an all-participants outcome sweep into a budget line, and organizations respond rationally: they sample less, survey less often, and know less. Infrastructure you own removes the meter, and with it the incentive to under-measure.
The data also has to become reporting, repeatedly. The same outcome numbers feed the annual report, three different grant reports on three different fiscal years, and a board dashboard — each slicing by program, site, and period. When responses sit in a form tool's export queue, every report starts with a download and a rebuild; when they sit in your database, each report is a saved query someone wrote once.
02 · Data model
Everything in the base Form Builder starter —
formsform_versionsquestionsresponsesanswer_itemsrespondents— plus the entities this industry actually runs on:
| table | what it holds |
|---|---|
survey_waves | Scheduled rounds of a recurring survey — spring donor pulse, program exit, six-month follow-up — comparable across periods. |
program_participants | The people your programs serve, linked across every survey they answer so pre/post and longitudinal analysis is structural. |
outcome_indicators | The measures you report to funders, mapped to the survey questions that evidence them — so collection and reporting stay aligned. |
03 · Screens
Recurring surveys run as waves with consistent questions, so spring-versus-fall donor sentiment or cohort-over-cohort outcomes compare cleanly. Response-rate tracking per wave shows where follow-up nudges are needed.
Program participants connect across every instrument they complete — intake, exit, follow-up — making matched pre/post analysis automatic. Anonymity stays available where it belongs, like staff culture surveys, as a per-form choice.
Indicators map to their evidencing questions, so 'percentage of participants reporting improved stability' computes from live data, filterable by program, site, and grant period. Charts drop into reports instead of being rebuilt for each one.
04 · In practice
Participants complete an exit survey at program end and a follow-up wave six months on; linkage makes the durable-outcome comparison automatic. The result is the strongest sentence in your next proposal, backed by matched data.
The yearly donor survey goes to the full list — no per-response math deciding who gets heard. Results compare against prior waves, and development sees which stewardship changes moved sentiment before renewal season.
Three funders want overlapping indicators on different fiscal calendars. Each report pulls its indicator set filtered to its grant period from the same accumulated data — three reports, one collection effort, zero rebuilds.
Yes — participants are a first-class entity linked across every survey they complete, which is what makes pre/post and longitudinal outcome analysis structural rather than a spreadsheet matching exercise. Anonymous collection remains available per form.
Outcome indicators map to the questions that evidence them, and reports filter by program, site, and grant period from continuously accumulating data. Different funders' overlapping asks stop requiring separate rebuilds.
Volunteer recruitment is deliberately not this starter's job — the volunteer management starter owns applications, shifts, and hours tracking as one connected system. This starter covers your survey and feedback collection; the two work well side by side.
The workload is light — surveys are bursts of small writes — so modest hosting handles even organization-wide waves. With no per-response pricing, the marginal cost of asking one more question of one more person is zero, which changes how much you learn.
Dual7 App Starters
Donor feedback and program outcome surveys on your own platform — evidence for funders, collected without per-response fees. Describe your version to start — the output is a project you own.