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name: insight-synthesis description: Transform raw research into actionable insights that inform design decisions. Use during Define phase after completing research.

Insight Synthesis

Overview

Transform raw research data into actionable insights that inform design decisions.

When to Use

• During Define phase after completing research
• When transitioning from Empathize to Define
• Before ideation to ground solutions in user needs
• When research feels overwhelming or unclear

How to Apply

1. Gather All Research

Collect from projects/[project_name]/insights/:

• Observation notes
• Interview transcripts
• Empathy maps
• Survey results
• Stakeholder feedback

2. Identify Patterns

Look across research for:

• Repeated themes — What comes up multiple times?
• Behaviors — What do users consistently do?
• Pain points — What frustrates users?
• Workarounds — What makeshift solutions exist?
• Emotional intensity — What generates strong reactions?
• Contradictions — Where do words and actions diverge?

3. Synthesize Insights

An insight is NOT just a finding. Transform observations into understanding:

Observation: "Users check their work 3-4 times" Insight: "Users lack confidence in the system's accuracy, creating anxiety and inefficiency"

Observation: "Users prefer mobile for field work" Insight: "Context switching between devices disrupts workflow because data doesn't sync reliably"

Good insights answer "why" and have implications for design.

4. Grade Confidence

For each insight:

• High: Multiple sources, consistent pattern, strong evidence
• Medium: Some evidence, but limited sample or mixed signals
• Low: Hypothesis based on thin evidence, needs validation

5. Identify Implications

For each insight, ask:

• What does this mean for our design?
• What opportunities does this create?
• What constraints does this impose?
• What should we prioritize?

6. Document

Create synthesis document in insights/ folder and update currentstate.json:

Copy{
  "id": "i1",
  "title": "Lack of system confidence creates inefficiency",
  "description": "Users check work multiple times due to past system errors, creating anxiety and wasted time",
  "confidence": "high",
  "sources": ["insights/observation_001.md", "insights/interview_003.md"],
  "implications": "Reliability and clear feedback are more important than features"
}

Synthesis Framework

Pattern → Insight → Implication

Pattern: What we observed across multiple sources Insight: Why it happens and what it means Implication: What we should do about it

Example

Pattern: 6 out of 8 field techs use paper notes despite having mobile devices

Insight: Mobile interface requires too many steps and focus for field context where attention is divided and conditions are suboptimal (gloves, sunlight, distractions)

Implication: Design for quick capture with minimal interaction; offline-first; large touch targets; high contrast for outdoor visibility

Tips

• Involve the whole DesignTeam (multiple perspectives)
• Focus on why, not just what
• Look for surprising findings, not just confirmations
• One observation may support multiple insights
• Keep insights user-centered, not feature-centered
• Link every insight to source evidence
• Update insights as you learn more