What result does the story claim?
Use this answer to locate the part of the experience that needs explanation. The example issue to investigate is: readers cannot distinguish measured results from interview opinions.
Marketing and audience research · Practical survey guide
Check whether a story distinguishes evidence and interpretation.
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EXAMPLE INVITATION BRIEF
Check whether a story distinguishes evidence and interpretation.
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A useful starting point
Check whether a story distinguishes evidence and interpretation. Use the prompts relevant to your audience and allow people to skip situations they did not encounter. Keep response handling consistent with what you explain in the invitation.
If nothing was unclear or difficult, say so. Skip questions about steps you did not experience; use not applicable where appropriate.
Use this answer to locate the part of the experience that needs explanation. The example issue to investigate is: readers cannot distinguish measured results from interview opinions.
Missing context reveals whether a story omits the starting situation, measurement scope or relevant conditions. Restore verified context around the outcome, rather than presenting a customer narrative as general proof of effectiveness.
Turn the requested improvement into a testable next step. One illustrative action is: label evidence type and relevant context.
If nothing was unclear or difficult, say so. Skip questions about steps you did not experience; use not applicable where appropriate. What result does the story claim? What context is missing? What source would help assess the claim?
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Examples to adapt, rather than a validated research instrument.
A worked interpretation example
Illustrative scenario. These are not customer results.
Readers cannot distinguish measured results from interview opinions.
Label evidence type and relevant context.
After trying the change, repeat “What result does the story claim?” with people who experienced it. Check whether they still describe the original issue: readers cannot distinguish measured results from interview opinions. Compare explanations and sample context, rather than claiming the change caused an improvement.
Choose the response format
| Question | Suggested format | What to preserve |
|---|---|---|
| What result does the story claim? | Optional short text | Retain the specific point or condition described; avoid replacing it with an unexplained rating. |
| What context is missing? | Optional written explanation | Keep context that distinguishes different experiences. Use only approved, genuine customer evidence. |
| What source would help assess the claim? | Optional improvement suggestion | Keep the suggested change separate from whether it has been tested. Label evidence type and relevant context. |
Make questions optional where appropriate. If you add a rating scale, label its endpoints, keep one idea per question, and retain a follow-up for reasons. These examples are not a validated measurement instrument.
Before you send it
Would you agree that everything about case study comprehension was clear and easy?
What result does the story claim?
The first wording combines an assumed positive outcome with two different judgments. The revised prompt asks about a specific experience and permits an inconvenient or uncertain answer.
From question to next step
Start with the decision: Check whether a story distinguishes evidence and interpretation.
Invite people with relevant experience. Ask after someone has encountered the situation described in “What result does the story claim?”, while they can still recall the details. For material testing, show the actual draft first; for planning, ask before the next relevant activity.
Label evidence type and relevant context.
Read the answers carefully
Use only approved, genuine customer evidence.
Readers cannot distinguish measured results from interview opinions. This is a synthetic example, not a customer result. Use only approved, genuine customer evidence.
Before you send it
Readers or prospective users evaluating the described material. Ask only about steps each person encountered; do not treat a voluntary response sample as representative.
Ask after someone has encountered the situation described in “What result does the story claim?”, while they can still recall the details. For material testing, show the actual draft first; for planning, ask before the next relevant activity.
Readers cannot distinguish measured results from interview opinions. This is an illustrative pattern to look for, not a claim about your respondents. Use only approved, genuine customer evidence.
Label evidence type and relevant context. After trying the change, repeat “What result does the story claim?” with people who experienced it. Check whether they still describe the original issue: readers cannot distinguish measured results from interview opinions. Compare explanations and sample context, rather than claiming the change caused an improvement.
Missing context reveals whether a story omits the starting situation, measurement scope or relevant conditions. Restore verified context around the outcome, rather than presenting a customer narrative as general proof of effectiveness. Use an optional written explanation when predefined choices would hide relevant context.
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