A customer-led workflow

User Research Intelligence

Transform manual research into scalable insights with AI that processes 100x more data, finds hidden patterns, and delivers actionable findings in minutes

Customer evidence

PostHog
BuildBetter is becoming our go-to tool for strategic planning.
Anna SzellPostHogRead their story

From the request to the reason behind it.

Bring customer feedback together, inspect the source, and carry the evidence into the decision. The example interface below shows how your team can work with that context.

BuildBetter interface supporting User Research Intelligence
Product example. Inspect findings alongside their customer and source context.

Put it to work.

01

Interview Analysis

Process hundreds of interviews automatically with perfect recall—every word transcribed, every signal extracted, nothing lost to bandwidth limits.

02

Pattern Discovery

AI finds connections and themes humans would never spot by correlating signals across sessions, segments, and time periods.

03

Insight Repository

A searchable knowledge base of all research findings, tagged and cross-referenced so anyone on the team can access the right insight at the right moment.

04

Research Automation

From scheduling to synthesis in one automated flow—pre-interview prep, real-time transcription, post-interview summary, and stakeholder distribution.

A practical place to start.

Foundation — Week 1
  1. Set Up Research Infrastructure

    Connect research channels (user interviews, usability tests, survey platforms, support data) and import the last 6 months of historical research to seed the repository.

  2. Design AI Analysis Framework

    Build a research taxonomy covering user segments (enterprise buyers, power users, new users, admins) and insight categories (feature discovery, friction points, delight moments, mental models).

  3. Launch Automated Research Workflows

    Automate the end-to-end pipeline: auto-schedule interviews, transcribe in real time, extract key insights, tag themes, create summaries, update the repository, and notify stakeholders.

Advanced Intelligence — Weeks 2–4
  1. Cross-Research Pattern Analysis

    Run meta-analysis across all studies to find patterns that only emerge at scale—longitudinal trend tracking, segment comparison, and hidden behavioral correlations.

  2. Predictive User Modeling

    Anticipate user needs before they articulate them by modeling behavioral predictions, need anticipation from usage patterns, churn risk indicators, and success predictors.

  3. Research ROI Measurement

    Track feature success back to driving research insights, compare research-based vs. intuition-based decision outcomes, and measure cost-per-insight improvements.

Strategic Research Operations — Month 2+
  1. Continuous Discovery

    Build always-on research intelligence with automated weekly interview pipelines, dynamic prioritization of research topics, and self-serve insight portals for stakeholders.

  2. Strategic Synthesis

    Transform tactical findings into strategic intelligence through opportunity mapping, dynamic persona evolution tracking, and competitive mention analysis.

  3. Research Scaling

    10x research capacity: go from 5 to 50 interviews per week with one researcher, reduce analysis time from 3 weeks to same-day, and increase coverage from 20% to 95%.

Keep the workflow useful
  • Record everything: you never know which interview will contain the golden insight
  • Mix methods: combine interviews, tests, surveys, and behavioral data for a complete picture
  • Democratize insights: make research searchable by everyone, not just researchers
  • Close loops: always follow up with participants about what you built from their input
  • Measure impact: track feature success back to the research insights that drove decisions

Keep exploring.

Ready to turn every interview into a strategic asset?

Bring a real question. We’ll walk through the context and the next step together.

Book a demo