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CrimUX

Skills translator

From criminology to user-experience framing

Browse the 15 common translations below, or type your own method, skill, or experience to get a custom translation and a sharable card.

Common translations

Each row maps a criminology research method or experience to its closest UX research analog, with a one-paragraph frame you can adapt for a resume, application, or interview answer.

  1. Qualitative interview

    Generative user interview

    Frame the interview around a product question — a moment of friction, a task someone is trying to complete, or a decision the team has to make. Tighten the guide to 5–7 questions, run 6–8 sessions in one week.

    Also matches: qualitative interview, semi-structured interview

  2. Ethnography

    Contextual inquiry / field study

    Same observational craft — much shorter cycle. Two days in-field per site, three sites, and a one-page synthesis with photos and quotes within a week.

    Also matches: fieldwork, participant observation

  3. Focus group

    Co-design or concept-testing workshop

    Replace opinion-polling with task-centered prompts. Bring stimuli (sketches, mocks) and have participants react, sort, and prioritize.

  4. IRB / human-subjects review

    Research ethics + participant consent process

    Industry doesn't have IRBs but does have privacy and legal reviewers. Write a lightweight consent script and data-handling plan; bring it to legal.

    Also matches: human subjects, consent

  5. Grounded theory / thematic analysis

    Affinity diagramming / thematic synthesis

    Use the same coding discipline on a much faster cadence. Two analysts, one day, sticky notes (or Dovetail / Miro / Reduct).

    Also matches: thematic analysis, coding

  6. Program evaluation

    Impact measurement / product evaluation

    Pair qualitative signals with product metrics. Define a success metric before launch; instrument it; report the effect with confidence and caveats.

    Also matches: outcome evaluation

  7. Survey research

    Quantitative UX research / large-N survey

    Write tighter items, drop double-barrels, and target a behavior or attitude tied to a feature. Use MaxDiff or Kano if prioritization is the question.

  8. Systematic / literature review

    Secondary research / desk research / lit review

    Same rigor, narrower scope. Build a one-pager that answers a product question with prior evidence — academic and industry — and notes what's missing.

    Also matches: literature review, meta-analysis

  9. Teaching / instruction

    Stakeholder education / research democratization

    Teaching translates to research operations and stakeholder enablement: building self-serve templates, running clinics, and coaching product managers to ask better questions.

    Also matches: instructor, pedagogy

  10. Grant / proposal writing

    Research plan / scoping doc

    A research plan is a 1–2 page mini-proposal: question, why now, method, participants, timeline, decisions it will inform, risks. Same muscle, smaller deliverable.

    Also matches: rfp, proposal

  11. Peer / manuscript review

    Critique / research review

    Critiques in industry are real-time and verbal. Lead with the decision at stake, the strongest claim, and the weakest evidence. Skip the throat-clearing.

    Also matches: manuscript review

  12. Mixed methods

    Mixed-methods UX research

    Highly transferable. Industry rewards practitioners who can pair n=8 interviews with n=800 surveys or product logs and write the through-line.

  13. Policy analysis

    Strategic / foundational research

    Policy thinking maps to strategic UX research: framing the problem space, mapping stakeholders, and informing roadmap-level decisions rather than feature-level ones.

    Also matches: policy analysis

  14. Ride-along / shadowing

    Diary study / shadow-and-debrief

    Same craft. Shorter window (1–2 weeks), structured artifacts (photos, voice memos), and a debrief interview at the end.

    Also matches: field observation, shadowing

  15. Statistical analysis (regression, R, SPSS, Stata)

    Quantitative UX research / analytics partnership

    Lean into this. Many UX research teams are starved for someone who can read a regression and pair it with a qualitative finding without losing either.

    Also matches: regression, spss, r, stata