Incidence rate (IR) is one of the clearest early signals of whether a brief will field cleanly. Research teams that treat IR as a scripting problem — not only a sample problem — protect both cost and data quality. These five principles map to capabilities in CKP Script’s survey builder: 35+ question types, skip/display logic, quotas, randomisation, and guided wording suggestions.
1. Screen early, but screen fairly
Place hard qualifiers near the front so disqualified respondents exit quickly. Soft preference questions that inflate perceived eligibility belong later. Use skip and display logic so irrelevant paths never appear — reducing drop-off that looks like low IR when it is really poor routing.
2. Keep length honest
Overlong surveys depress completion and invite speeding. Tune length against the audience: HCP and C-suite briefs rarely tolerate consumer-length grids. Guided suggestions in the builder help clarify wording and trim bias without inventing answers — careful tooling, not over-promised AI.
3. Respect question order psychology
Early items set context for everything that follows. Brand-aware or sensitive questions too early can anchor later answers. Sequence general behaviour before specific brand exposure, and randomise blocks where order effects are a risk.
4. Align quotas with screening
Quota groups that fight screening logic create artificial scarcity and wasted sample. Build quotas in the same workspace as logic so PMs see conflicts before launch. Live dashboards with 0–100% IR tracking help catch misfires while fieldwork is still running.
5. Protect quality while chasing IR
Lifting IR by loosening quality gates is a false win. Pair screening improvements with quality scores, device checks where appropriate, and clear disqualification reasons. The goal is eligible respondents who finish — not more starts that fail QC.
For sample scripting patterns by question type, see the Resources sample scripting section. To apply these principles on a live brief, book a platform demo.