Research
Synthesis is cheap. Good questions and good evidence aren't.
How AI is impacting this skill
AI compresses synthesis, transcription, and pattern-matching from days into minutes. The premium shifts to question design, recruiting quality, and judgement about what to act on.
The shifts that matter
- Transcription, tagging, and theme clustering are now near-free.
- LLMs can draft discussion guides, screener questions, and synthesis frameworks in seconds.
- Stakeholders expect insight turnaround in hours, not weeks.
- The risk is confident-sounding synthesis from thin or biased data.
What to do about it
- Get sharper at framing the research question and the decision it informs.
- Use AI for first-pass clustering, but verify quotes against raw transcripts.
- Build a lightweight evidence library so insights compound across studies.
- Practice writing the decision memo, not just the readout.
Tools to try
Automated tagging and theme suggestions on interview transcripts.
AI-assisted synthesis across multiple sessions.
Drafting guides, screeners, and synthesis prompts.
Next move
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Other skills
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The skill that compounds everything else.