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Synthesize research briefs

Create findings, themes, and recommendations from interview transcripts and notes.

For
Researchers
Time
20 minutes
Difficulty
Intermediate

The problem

Research synthesis is painful. You review hours of interview transcripts, scattered notes, and metrics snapshots, then manually extract themes and evidence. Smaran connects these sources so you can draft a research brief with findings, confidence levels, and citations proving each claim.

What you need before starting

Interview transcripts or notes
Raw qualitative data from user conversations
Product metrics snapshot (optional)
Quantitative context for validation
Strategy memos or research goals
Questions you're trying to answer

Step-by-step workflow

STEP 1

Upload research sources

Go to Sources and upload interview transcripts (PDF, DOCX, or paste text), metrics snapshots (upload or paste), and any strategy docs outlining research goals. Smaran indexes all content.

Success looks like: All research inputs indexed and searchable in your workspace.
STEP 2

Ask thematic questions

Open chat and ask: "What pain points did users mention most?", "Which features were requested across multiple interviews?", "What patterns emerge from the transcripts?" Review cited answers.

Success looks like: Answers with quotes and transcript citations showing evidence.
STEP 3

Create research brief artifact

Create a new artifact titled "Research Brief: [Topic]". Set up sections: Executive Summary, Key Findings, Themes, Recommendations, Confidence Levels, Next Steps.

Success looks like: Blank artifact with clear structure ready for synthesis.
STEP 4

Draft findings with evidence

Use chat to draft each finding: "Summarize the top 3 pain points with quotes", "List feature requests with frequency". Insert generated content and verify citations link to actual transcript sections.

Success looks like: Each finding has supporting quotes with transcript line references.
STEP 5

Add confidence levels

For each finding, add a confidence rating: High (5+ sources), Medium (2-4 sources), Low (1 source or weak evidence). Cross-reference with metrics where available.

Success looks like: Every finding tagged with confidence and evidence count.
STEP 6

Generate recommendations

Ask chat: "Based on these findings, what product changes should we prioritize?" Refine AI suggestions with your judgment and add rationale tied to research goals.

Success looks like: Actionable recommendations grounded in evidence from your research.

What good output looks like

HIGH CONFIDENCE
Finding 1: Onboarding friction
6 out of 8 users struggled to understand workspace setup (Interview 1, 3, 4, 5, 7, 8). Quote: "I didn't know where to start" (User 3, line 47).
Evidence: 6 transcripts, metrics show 45% drop-off at setup screen
MEDIUM CONFIDENCE
Finding 2: Search expectation mismatch
3 users expected keyword search instead of semantic chat (Interview 2, 6, 7).
Evidence: 3 transcripts, needs validation with broader sample
Recommendation:
Add interactive onboarding tour (addresses Finding 1, high-confidence, high-impact). Defer search UI change until confidence improves (Finding 2).

Common mistakes and fixes

Treating all findings as equal confidence

Reporting "users want X" without noting it's from 1 interview vs 10.

Fix: Always tag confidence (High/Medium/Low) and list evidence count.
Cherry-picking quotes without context

Choosing quotes that fit your hypothesis instead of representing the full transcript.

Fix: Click citation links to read surrounding context before claiming a theme.

Reusable prompt template

Synthesize research findings from [transcript sources].

For each finding, provide:
- Clear statement of the pattern
- Supporting quotes with transcript references
- Frequency (how many sources mention this)
- Confidence level (High/Medium/Low)

Group findings by theme.

Recommend next actions based on high-confidence findings only.

Related examples

Ready to synthesize research?

Upload your transcripts and follow this guide in Smaran.