Research Segment Comparison Worksheet
Compare task conditions across potential software audiences without confusing a small interview sample with market size or broad demographic conclusions.
When to use this template
Use this when interviews cover different roles or contexts and a single blended summary hides important workflow differences.
Choose another approach when: You want to rank people by sensitive traits, infer segment prevalence from recruitment convenience, or create industry pages that repeat identical content.
Gather these inputs
- A specific task shared or compared across candidate audiences.
- Permission-appropriate evidence references from each context.
- The marketing decision that a real difference could affect.
Copy and adapt the template
Edit the text below and copy it into your own document. Edits stay in this browser field and are not submitted or saved by this page.
Worked example
Illustrative example, not a Crany customer result. Replace every example detail with facts you can verify.
A fictional comparison considers a solo designer handing instructions to one client and an agency transferring a site between internal teams. Both need clear steps, but the agency accounts introduce approval and ownership handoffs that did not appear in the solo interviews. The team investigates those constraints rather than guessing that agencies need more automation. It also avoids claiming the agency market is larger from three interviews. A separate page would require distinct useful workflow content, not an industry label swap.
How to use it
- Compare the same task outcome and record how participants were reached.
- Attach evidence to meaningful context differences and retain shared needs and exceptions.
- Adapt the message only where evidence changes the explanation or product fit.
Check before using it
- Roles and contexts are not treated as uniform personalities.
- Interview counts are not market-size estimates.
- A separate URL needs a distinct useful answer.
What to measure
Track whether context-specific messages improve understanding among relevant readers. The worksheet supports segmentation hypotheses, not population proportions or proven channel economics.
Research and sources
The sources support goals, context and helpful distinct content. This comparison grid is original analysis and does not provide a validated segmentation model.
- Yale: User Interview Example Questions — checked 2026-10-23. Interview structure, current tasks, past experience, alternative workflows and discovery paths.
- Teresa Torres: Customer Interviews — checked 2026-10-23. Story-based interviews about goals, needs and context; separate discovery from selling.
- Google: Creating helpful, reliable, people-first content — checked 2026-10-23. Original value, useful answers, transparent sourcing and a clear audience.
About Crany
Crany is an AI marketing co-founder in development for software founders and vibe coders, designed to strategize, execute approved marketing and improve based on results. This free resource is usable independently of the product. Join the public waitlist.