Illustrative example

A community organization combines a needs survey with focus group themes

A regional nonprofit serving 18,000 households ran a community needs assessment on ReliCheck, alongside three rounds of in-person focus groups. The platform's open-ended theme extraction lined up directly with the focus group themes, giving funders a defensible mixed-methods report instead of two parallel deliverables.

Mixed-methods
OrganizationRegional human services nonprofit, ~18,000 households served
SurveyCommunity needs assessment, 24 items + 4 open-ended
ScaleReliCheck Community Needs Assessment template
ResultSurvey n = 1,612 + 3 focus groups (n = 8 each); converged on 5 priority needs

The challenge

The organization had a triannual needs assessment cycle. Past cycles produced a 60-page funder report with a survey appendix and a separate qualitative report from focus groups, and the two appendices rarely talked to each other.

Funders had started asking pointed methodological questions: how representative was the survey sample, what was the reliability of the construct scales, did the qualitative themes corroborate the quantitative findings or contradict them. The previous report could not answer the third question because the two methods were never integrated.

How they designed the survey

The organization redesigned the cycle around a single mixed-methods question set. The survey carries 24 Likert items across six need domains (housing, food, healthcare, transportation, childcare, employment) plus four open-ended items asking, in plain language, what would make the biggest difference.

Three in-person focus groups (n = 8 each) ran in parallel using the same six domains as a discussion guide. The qualitative team coded transcripts using grounded theory; the survey team ran AI theme extraction on the 1,612 open-ended survey responses. The two coding frames were compared at the end as a corroboration check.

What the data showed

0.83 – 0.90
Domain-level α across the six need domains
4 of 5
Top survey priorities also surfaced as top focus group themes
60 → 28
Funder report length in pages, with stronger evidence per page

1,612 households responded to the survey (8.9% rate without incentives). The six domain composites all came in above α = 0.83 with KMO above 0.79. AI theme extraction on the 1,612 open-ended responses produced 11 themes; manual review condensed them to 7.

Of the top five priorities the survey identified (housing affordability, public transit gaps, after-school childcare, prescription costs, and full-time employment for caregivers), four also showed up as top themes in the focus group transcripts. The fifth (prescription costs) showed up in two of the three focus groups as a secondary concern. The corroboration table became the centerpiece of the funder report.

"Funders read mixed-methods reports skeptically because the qual and quant rarely line up. Ours did, and the table that showed the convergence was the page reviewers commented on. The survey reliability statistics were what made the table believable."

Director of Strategy and Evaluation, anonymized

At a methods glance

Survey samplen = 1,612 households (8.9% response rate)
Survey instrument24 Likert items, 6 domains, 4 open-ended
Focus groups3 groups, n = 8 each, 90 minutes each, recorded and transcribed
ReliabilityDomain αs 0.83 – 0.90; KMO 0.79 – 0.86
Theme convergence4 of 5 top survey priorities also top focus group themes
ExportWord methods appendix, PDF report for funders, Excel domain rollups

What they did with the result

Read more about how mixed-methods teams use ReliCheck →

Illustrative example. This story is composed from common patterns we see across nonprofit and community-research customers using ReliCheck. The numbers reflect realistic reliability values and corroboration rates for a mixed-methods cycle of this design; organizational details are anonymized. Real customer stories with named organizations will be added as pilot partners give us permission to publish.

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