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Stacklane

User research, evidence the product team can act on, not a 60-page report.

Most user research projects produce documents nobody reads. We do research that translates into decisions: 6-10 interviews per study, synthesised into 2-3 actionable insights, paired with what to do about each. The output goes into the roadmap, not the archive.

What we build

  • Generative interviews for the early questions

    When the team doesn't know what to build yet: 6-10 user interviews exploring workflow, pain points, and current alternatives. Output is patterns, not personas; opportunities, not feature lists.

  • Usability tests for the proposed solution

    Before engineering commits, 5 users test the prototype or staging build. We watch where they get stuck; the team sees the test sessions, not just the summary. Issues surface as decisions, not as 'we should look at that'.

  • Diary studies for longitudinal patterns

    When the question is about behaviour over time (weekly workflow, monthly billing cycles, quarterly planning), users record their experience in real time. Pattern emerges over the study period, not from memory.

  • Concept testing for direction-level decisions

    When the team has 2-3 directions and needs to pick: concept-level tests with target users. We frame the choice; users react; the team sees the reasoning behind the preference, not just the preference.

  • Recruiting through real channels

    Recruiting through user-tracking opt-in, existing customers, or specialist services. Quality of insight scales with the quality of who's being asked; we don't fall back on convenience samples.

  • Synthesis the team can use

    Patterns, not anecdotes. Opportunity statements, not generic quotes. Each insight names an audience, a problem, and a candidate response. The roadmap gets inputs; the team gets context.

Where this fits

  1. You're about to invest a quarter of engineering time and you don't yet know if the audience cares.

  2. Your product is shipping features that aren't moving retention and you don't have evidence on why.

  3. You're entering a new audience and the assumptions you have about how they work need testing.

Tech stack

  • User Interviews
  • Diary Studies
  • Usability Tests
  • Dovetail

Want this for your team?

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