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