write-participant-screener

Writes participant-recruiting screeners with behavioral criteria, intent masking, and recruiting logistics.

1|Updated Jul 13, 2026
One-click install
npx skills add https://github.com/dineshrevunuru/SuperSkills --skill write-participant-screener-dineshrevunuru
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: write-participant-screener
Source: https://github.com/dineshrevunuru/SuperSkills/tree/main/write-participant-screener
Command: npx skills add https://github.com/dineshrevunuru/SuperSkills --skill write-participant-screener-dineshrevunuru

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Recruiting the wrong participants ruins a study before it starts: screeners that telegraph the study topic attract impostors, demographic proxies miss real target users, and professional participants slip through undetected. This Skill turns a participant profile into a screener that finds genuine target users while concealing the study's purpose. ## Core Features & Use Cases - Behavioral criteria translation: Converts demographic proxies into verifiable past behaviors with recency windows, one criterion per question. - Intent masking and red-flag traps: Builds select-all questions with plausible distractors, exclusion-first ordering, consistency traps, and professional-participant detection rules. - Full recruiting plan: Delivers per-question accept/reject/quota logic plus channel selection with bias flags, incentive calibration, and over-recruit buffers (20% moderated, 30-50% unmoderated). - Use Case: You have a usability test plan calling for 5 participants who book personal-care appointments. Use this Skill to produce a masked screener with knockout logic, a quota split between online and phone bookers, and a recruiting plan with channel, incentive, and no-show buffer. ## Quick Start Write a participant screener and recruiting plan for my study using the participant profile and sample size from my research plan.

Frequently Asked Questions about write-participant-screener

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write a screener survey for user research participants?

Translate each profile criterion into a past behavior with a recency window, mask the target answer among plausible distractors in select-all questions, and order questions exclusion-first. Attach explicit TERMINATE, MUST, or QUOTA logic to every question.

How to screen out professional research participants?

Build in red-flag traps: terminate anyone who selects every option in a select-all list, mask the past-participation question with graduated time bands, and add a consistency trap asking the same fact twice. Reject open-ended answers that read like generic marketing copy.

Should screener questions use demographics or behaviors?

Use behaviors, not demographics. Instead of "age 25-40, tech-savvy," ask whether the person completed the target behavior in a recent window, such as booking online in the past month. Keep demographics only when the study genuinely requires them, like a legal age floor.

How many extra participants should I recruit for no-shows?

Over-recruit at least 20% (one extra per five sessions) for moderated remote studies, 30-50% for unmoderated remote studies, and hire a paid floater for in-person sessions. Confirm participants at scheduling and again 24 hours before.

When should I not use a participant screener?

Do not use a screener to decide who participants should be or how many to recruit; that belongs to the research plan. A screener is also not a research survey: its answers gate entry and are never analyzed as findings.