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Synthesize Research

Synthesize user research from interviews, surveys, and feedback into structured insights. Use when you have a pile of interview notes, survey responses, or support tickets to make sense of, need to extract themes and rank findings by frequency and impact, or want to turn raw feedback into roadmap recommendations.

Data, AI & Research|v1|Updated 7/2/2026|GitHub source
MCP get_skill({ skillId: "synthesize-research-477d77c9" })

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# Synthesize Research

> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../CONNECTORS.md).

Synthesize user research from multiple sources into structured insights and recommendations.

## Usage

```
/synthesize-research $ARGUMENTS
```

## Workflow

### 1. Gather Research Inputs

Accept research from any combination of:
- **Pasted text**: Interview notes, transcripts, survey responses, feedback
- **Uploaded files**: Research documents, spreadsheets, recordings summaries
- **~~knowledge base** (if connected): Search for research documents, interview notes, survey results
- **~~user feedback** (if connected): Pull recent support tickets, feature requests, bug reports
- **~~product analytics** (if connected): Pull usage data, funnel metrics, behavioral data
- **~~meeting transcription** (if connected): Pull interview recordings, meeting summaries, and discussion notes

Ask the user what they have:
- What type of research? (interviews, surveys, usability tests, analytics, support tickets, sales call notes)
- How many sources / participants?
- Is there a specific question or hypothesis they are investigating?
- What decisions will this research inform?

### 2. Process the Research

For each source, extract:
- **Key observations**: What did users say, do, or experience?
- **Quotes**: Verbatim quotes that illustrate important points
- **Behaviors**: What users actually did (vs what they said they do)
- **Pain points**: Frustrations, workarounds, and unmet needs
- **Positive signals**: What works well, moments of delight
- **Context**: User segment, use case, experience level

### 3. Identify Themes and Patterns

Apply thematic analysis — see **Research Synthesis Methodology** below for detailed guidance on thematic analysis, affinity mapping, and triangulation techniques.

Group observations into themes, count frequency across participants, and assess impact severity. Note contradictions and surprises.

Create a priority matrix:
- **High frequency + High impact**: Top priority findings
- **Low frequency + High impact**: Important for specific segments
- **High frequency + Low impact**: Quality-of-life improvements

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Synthesize Research - AgentArmory Skill — AgentArmory