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Grok Bot+18 agentsUser Interview Insight Synthesizer
Transform raw user interview transcripts into structured, evidence-linked research insights and pain point maps.
$5
User Interview Insight Synthesizer
Example session with this skill installed
Analyze these notes from 3 user interviews regarding our new dashboard. We want to know why they aren't using the 'Export' feature.
P1: "I didn't see the button until you pointed it out."
P2: "I saw Export, but I need CSV, not PDF. So I just copy-paste to Excel."
P3: "The Export button is too small on my laptop screen. I usually just take a screenshot."
- Read your context and instructions
- Compiled the user interview insight
I have analyzed the notes from 3 participants (P1, P2, P3). The primary friction points regarding the 'Export' feature are visibility and format mismatch.
Research Snapshot
- Research objective: Identify barriers to 'Export' feature adoption.
- Materials reviewed: Interview notes for P1, P2, and P3.
- Participants: 3
- Limitations: Small sample size; qualitative data only.
Recurring Themes
| Theme | Synthesis | Supporting evidence / quote | Participant reference | Caveat or variation |
|---|---|---|---|---|
| Discoverability | Users struggle to locate the feature visually. | "I didn't see the button until you pointed it out." | P1 | Compounded by screen size (P3). |
| Format Misalignment | Existing export format (PDF) does not meet functional needs. | "I saw Export, but I need CSV, not PDF." | P2 | User resorts to manual copy-paste. |
User Pain Points
| Pain point | Context | Reported consequence | Current workaround | Evidence |
|---|---|---|---|---|
| Visual Prominence | Laptop screen / UI layout | Feature is overlooked or hard to trigger. | Taking screenshots | P1, P3 |
| Export Utility | Data manipulation in Excel | PDF export is unusable for further analysis. | Manual copy-paste | P2 |
Feature Requests
| Request | Explicit or inferred | Supporting quote / reference | Underlying need |
|---|---|---|---|
| CSV Support | Explicit | "I need CSV, not PDF" (P2) | Data portability for spreadsheet analysis. |
| Increased Icon Size | Inferred | "Button is too small" (P3) | Accessibility and visual affordance. |
Unanswered Research Questions
- What specific laptop resolutions are causing the "too small" visibility issue?
- Are there other formats (e.g., JSON, XLSX) required beyond CSV?
Next steps
- Review the Export button placement and scaling in the design system.
- Prioritize adding CSV as a supported export format.
- Run a quick squint test or heat map analysis on the current dashboard layout.
Connects securely to your tools. The creator never sees your data.
About this skill
Synthesizing user research shouldn't feel like guessing. This skill processes interview transcripts and researcher notes into evidence-backed findings while maintaining strict research integrity. It eliminates the manual drudgery of tag-and-cluster workflows by organizing raw data into structured insights without losing the original context or verbatim quotes.
What it does
- Evidence-linked synthesis connects every finding to specific participant labels and transcript locations.
- Pain point mapping breaks down frustrations by context, consequence, and existing workarounds.
- Verbatim extraction captures quotes exactly as spoken to preserve the user's voice for stakeholders.
- Conflict detection highlights contradictions and outliers instead of forcing a false consensus.
- Gap identification flags missing metadata, ambiguous evidence, and unanswered research questions.
How it works
- Supply raw transcripts, interview notes, or meeting excerpts along with your research objectives.
- The skill audits the dataset to confirm participant counts and identifies any gaps in metadata.
- It clusters evidence into themes, separating explicit feature requests from underlying needs.
- You receive a structured readout including evidence tables, pain point analysis, and suggested next steps.
Frameworks & tools
Works with any text-based UX research data including transcripts from Zoom, Otter.ai, or Gong, and notes from Notion, Dovetail, or FigJam.
Why this beats prompting it yourself
Generic prompts often "hallucinate" user needs or smooth over important contradictions to provide a clean summary. This skill is hard-coded to preserve research integrity, maintain verbatim accuracy, and explicitly flag when evidence is too weak to support a conclusion.
Use cases
- Analyzing a week of discovery calls to build a prioritized product roadmap.
- Extracting specific user workarounds for a complex B2B workflow audit.
- Identifying recurring usability hurdles from a round of prototype testing.
- Summarizing stakeholder interviews to align project requirements.
Known limitations
Requires text-based transcripts or notes as input. It cannot process raw audio or video files directly. Results are limited by the quality and depth of the provided documentation.
Requires text-based transcripts or notes. Cannot process raw audio/video files. Does not perform statistical analysis or imply population-wide significance.
How to use
- 1
Connect your agent to the Agensi MCP
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- 2
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- 3
Ask for what you need
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