Screen research interview participants without spreadsheet chaos
Recruiting for user interviews often means messy spreadsheets and manual filtering. This screener standardizes how you select the right participants.
What is a user research interview screener?
A user research interview screener is a short intake form that collects demographics, product usage, and goals so researchers can recruit participants that fit specific study criteria.
Pain points
- Time-consuming manual review of signups for research studies
- Participants who do not match the study criteria
- No simple way to track who has already been interviewed
How Intakly helps
- Collect only the variables that matter for your study design
- Use AI to flag participants who match target segments
- Keep a searchable log of all applicants and interview status
Who this is for
- UX Researchers
- Product Designers
- Founders
FAQ
- Can I run multiple studies at once? Yes. You can tag each screener submission with a specific study and filter by that tag later.
- Can we avoid recruiting users who already participated? You can track participation history so heavy contributors are not over-recruited.
- Does AI help with demographic filtering? AI highlights participants who fit your defined profile based on the answers they provide.
Details
What this use case is
This use case helps teams recruit qualified research participants without building complex spreadsheets. The screener focuses on the attributes that actually matter for each study, such as experience level, role, or product usage.
How AI Intake Forms helps
AI analyzes responses as they arrive and helps you rank participants by how closely they match your target profile. Instead of scanning every submission manually, you can jump straight to the best matches.
Key benefits
- Faster recruiting for usability tests and discovery interviews
- Better alignment between research goals and participant profile
- A central history of who participated and in which studies
Example workflow
- Share the screener link with customers, communities, or mailing lists.
- Participants answer a few focused questions about their context and usage.
- Your team uses AI-generated summaries to score each response against your target criteria.
- Researchers invite the most relevant participants and mark them as scheduled.
- After interviews, notes link back to the original screener entry.
Call to action
Stop copying research signups into spreadsheets. Use an AI-powered screener that helps you find the right people for each study in minutes.