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Define·Research Access·Automation·Developing·DEF-088
Research Format Shifting
Value hypothesis
Insight becomes easier for teams to use and act upon when it's accessible in diverse, fit-to-purpose forms; automated reformatting improves reach while reducing labor.
Innovation · Efficiency
The researcher transforms existing research artifacts from one format into another to serve a different audience or downstream uses: interview transcripts become clustered insight cards, raw field notes become affinity-diagram scaffolds, workshop output becomes a video, qualitative findings become a podcast. The practitioner provides the source material and a target specification; the AI-generated artifact preserves the substance of the original while adapting its format. Research can be adapted to stakeholders with previously unfeasible diversity.
Risks in application
Shallow Solutions
Format shifting looks like a clean translation problem, but target formats impose summarisation pressure that the AI resolves by smoothing out exactly the tensions, contradictions, and outliers that carry the interesting content. The transformed artifact reads as faithful because it repeats the dominant themes, while silently losing the minority signals that would have changed the design direction.
Pseudoproductivity
Producing five derivative formats from one research artifact creates the appearance of dissemination work that has not happened: each output looks like progress, but the analytical layer that turns evidence into insight has been skipped, only its packaging multiplied.
Expertise that differentiates
Research and Insight
The practitioner checks that the transformed artifact has preserved substance rather than merely looking like a correct version of itself. This means catching where quotes have been reattributed to the wrong participant, where a minority voice in the source has been absorbed into a majority theme, and where format compression has dropped the caveat or contradiction that gave the original its meaning. The check gets harder as the target medium moves further from the source: a podcast adaptation is opaque to source-fidelity review in ways an insight card is not.
AI Fluency that assures
Platform Awareness
Interview transcripts become clustered insight cards, raw field notes become affinity-diagram scaffolds, workshop output becomes a video, qualitative findings become a podcast.
Task Delegation
The practitioner provides the source material and a target specification; the AI-generated artifact preserves the substance of the original while adapting its format.
Deployment Diligence
The practitioner checks that the transformed artifact has preserved substance rather than merely looking like a correct version of itself. This means catching where quotes have been reattributed to the wrong participant, where a minority voice in the source has been absorbed into a majority theme, and where format compression has dropped the caveat or contradiction that gave the original its meaning. The check gets harder as the target medium moves further from the source: a podcast adaptation is opaque to source-fidelity review in ways an insight card is not.
The practitioner provides the source material and a target specification; the AI-generated artifact preserves the substance of the original while adapting its format.
Possible Indicators
Output novelty
Whether the UC produces artefact types (video, podcast, interactive scaffold) that were not feasible to produce manually at comparable quality or scale within the research team's budget.
Effort reduction
Hours spent transforming research artifacts between formats per research cycle, versus baseline for equivalent source material and target format.