| 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:
{
"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