Customer Research Synthesis: Interviews, Surveys, Reviews
Turns interview transcripts, survey exports, and reviews into evidence-weighted themes, verbatim customer language, and next decisions.
Before & after
Same prompt, same agent — the only difference is the skill.
I can help synthesize what you've learned from customers. You'd want to look for common themes across interviews, identify pain points, and note what resonates. It's useful to group feedback by topic. You might create a summary of key takeaways, though organizing and prioritizing all of it can be time-consuming. Have you thought about how you want to present the findings? Different formats work for different audiences.
CUSTOMER INSIGHTS SYNTHESIS REPORT RESEARCH SCOPE: • 12 interviews conducted (6 current users, 6 churned) • Duration: 30-45 min each; recorded and transcribed • Target segment: Mid-market SaaS operations teams KEY THEMES (ranked by mention frequency): 1. ONBOARDING FRICTION (mentioned 10/12 interviews; 83 percent) → Problem: Setup takes 3-4 hours, requires developer involvement → Impact: 2 users delayed deployment by 2 weeks; 3 churned cited complexity → Customer quote: "We needed DevOps help just to get the first dashboard running." → Recommendation: Pre-built template library (reduce setup to 15 min) 2. MISSING NATIVE INTEGRATIONS (9/12; 75 percent) → Problem: Requires custom API calls for Datadog, New Relic, Prometheus → Impact: 4 interviewees built custom connectors (5-8 hours each) → High-value integrations: Datadog (7 mentions), Snowflake (5), Grafana (4) → Recommendation: Publish Datadog integration Q4 (highest ROI) 3. PRICING TRANSPARENCY (7/12; 58 percent) → Problem: Cost unclear until late in trial; scales unpredictably → Impact: 3 churned because bill doubled unexpectedly (high-volume months) → Suggestion: Usage dashboard showing projected monthly spend → Recommendation: Publish cost calculator on pricing page 4. PERFORMANCE AT SCALE (5/12; 42 percent) → Problem: Dashboards lag with 100k+ events/day → Impact: Enterprise prospects dropped (1 deal lost) → Current threshold: Visible slowdown >50k events/day → Recommendation: Optimize query engine; add caching layer CUSTOMER SEGMENT DIFFERENCES: • Startups: Emphasize ease of setup, free tier features • Mid-market: Emphasize compliance, integrations, support • Enterprise: Emphasize performance, SLA, dedicated support NEXT ACTIONS (priority order): → A: Publish Datadog integration (estimated 8-week dev) → B: Build setup wizard template library (4-week dev) → C: Add spend forecasting to billing (2-week dev) → D: Performance audit for scale (ongoing, 15% dev allocation)
About this skill
You have 30 transcripts, a survey export, and a pile of reviews, and every summary you get back says "users want it to be easier." Or the synthesis conveniently confirms whatever the team already believed. This skill counts distinct customers instead of mentions, weights what people did over what they say they would do, and ties every theme to quotes with source IDs.
What it does
- Codes raw material into themes stated as customer claims, each backed by "n of N customers" counts and verbatim quotes with source IDs
- Separates past behavior from opinions and hypotheticals, and turns feature requests into the underlying job and trigger
- Splits findings by segment (role, plan, tenure, won/lost, churned) so a loud group cannot pass as consensus
- Builds a voice-of-customer bank of exact phrases for headlines, objections, and outcomes, ready for copy
- Flags sample bias, leading questions, and disconfirming evidence, and says plainly what the data cannot tell you
- Writes interview guides and survey questions built around "the last time" instead of "would you"
What you get
A synthesis with a ranked theme table, switch-moment forces, a verbatim language bank, and decisions tagged with confidence and the cheapest next test. For a quick question you get a quick answer.
Best for
Founders, product managers, product marketers, and researchers who have raw customer material and need to make a product, positioning, or onboarding decision from it this week.
SKILL.md preview
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name: customer-research-synthesis
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