AI prompts for True Intent Studies: survey design, coding, and reporting

These AI prompts support the True Intent Study workflow — from survey design through open-ended response coding to executive reporting. Each prompt is designed for use with Claude, ChatGPT, or any capable LLM. Replace all [bracketed placeholders] with your specific project details.

Prompt 1: Design the True Intent Study survey

You are a UX researcher designing a True Intent Study survey for a live website.

Website: [describe the site — type, audience, main functions]
Study objective: [what you need to learn — e.g., top tasks, task completion, experience benchmark]
Estimated weekly traffic: [number of unique visitors per week]
Known visitor segments: [list any known segments, or "unknown"]

Design a complete survey with three phases:

Phase 1 (before task):
- Write the intent question with 8-12 predefined task options plus "Other" with textbox

Phase 2 (after task):
- Task completion question (yes/no/partially)
- Open-ended follow-up for failures
- Page/section identification for difficulties

Phase 3 (experience metrics):
- 2-3 rating scales (recommend from: ease of use, satisfaction, likelihood to return, NPS, trust)
- 2-3 demographic questions relevant to this site

Also provide recommended intercept copy, invitation rate, and estimated duration.
Keep total survey under 10 questions and 3-5 minutes.

Prompt 2: Code open-ended responses into themes

You are a UX research analyst coding open-ended responses from a True Intent Study.

Context: [N] visitors reported they were unable to complete their task on [website].

Code each response into theme categories:
- NAVIGATION, SEARCH, CONTENT, TECHNICAL, PRICING, CHECKOUT, MOBILE, ACCOUNT, OTHER

For each response provide: verbatim text, assigned theme, confidence score.

After coding, output:
1. Theme frequency table (count and percentage)
2. Top 3 themes with 3 representative quotes each
3. Any segment-specific patterns

Responses:
[paste responses]

Prompt 3: Generate priority matrix from results

You are a UX strategist creating an action plan from True Intent Study results.

Input data:
- Top tasks with visitor percentage: [paste table]
- Task completion rates: [paste rates per task]
- Failure themes per task: [paste themed counts]
- Experience ratings: [paste scores]

Create a priority matrix:
1. Calculate impact: (% of visitors) × (% who failed) for each task
2. Rank by impact, highest first
3. For top 5 tasks: dominant failure themes, actionable recommendations, suggested follow-up research
4. Flag improvements or regressions vs previous benchmark

Prompt 4: Write the executive summary

You are a UX researcher writing an executive summary of a True Intent Study.

Study details: [website, dates, N responses, intercept pages]
Key findings: [top tasks, completion rates, failure themes, experience scores, benchmark delta]

Write 300-500 words:
1. Open with the headline finding
2. Summarize who visits and why (top 3 tasks)
3. Report completion rates
4. Describe 2-3 biggest problems with quotes
5. Provide 3 prioritized recommendations
6. Close with what to measure next

Tone: direct, evidence-based, for a product leader with 5 minutes.