research-synthesis

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SKILL.md

Research Synthesis

Coverage

Research synthesis covers the methods that turn raw qualitative material into structured insight a team can act on. The canonical technique is affinity mapping (Jiro Kawakita's KJ method), where individual observations are written on cards or sticky notes, posted on a wall, and clustered bottom-up into emergent themes — without imposing pre-existing categories. Adjacent methods include empathy mapping (XPLANE / Dave Gray, "Say / Think / Do / Feel" quadrants), insight statement writing (a tension or surprise condensed into one sentence), jobs-to-be-done synthesis (extracting the functional, emotional, and social jobs a user is hiring a product to do), and persona drafting when patterns are stable enough to warrant archetypes.

The skill includes the mechanics of downloading research — getting raw observations off transcripts and onto a shared surface (physical wall or digital board) as atomic units, one observation per card, in the participant's words where possible. This is the unglamorous part of the work and it is non-negotiable: themes that emerge from a wall of evidence are defensible; themes that emerge from memory or impression are not.

The practice distinguishes descriptive themes (what we heard) from interpretive insights (what it means) from point-of-view statements (what we will act on). Each layer requires the previous one as evidence. A common synthesis output is a small set of insight statements, each in the form of an observation + interpretation + implication ("Users batch-process invoices on Fridays because their bookkeeper visits on Mondays — current weekly cadence misses this rhythm"), which then feed directly into problem framing or ideation.

Philosophy

Synthesis is where qualitative research either pays off or quietly fails. The temptation is to read transcripts, form an impression, and write a summary — but impression-based summaries reproduce the researcher's priors rather than the participants' patterns. Affinity mapping is deliberately slow and physical because the act of moving cards forces the researcher to keep evaluating whether two observations actually belong together, instead of subsuming them under a comfortable label.

The discipline is wary of premature abstraction. A theme named too early ("users want simplicity") becomes a magnet that pulls unrelated observations into it. The IDEO field guide and the Stanford d.school bootleg both teach delaying naming as long as possible — clustering by proximity first, naming only when the cluster's shape is undeniable. The same caution applies to personas: a persona built before patterns have stabilized fossilizes a guess, then teams optimize for a fictional user instead of real ones.

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