GLOSSARY

What is a Research Insight?

Table of content
Definition

Definition

A research insight is a synthesized understanding of user behavior, motivation, or friction that explains why an observed pattern matters and what it implies for a product decision.

TL;DR

  • An observation records what happened. An insight explains the pattern and why it matters.
  • Insights should connect evidence to user meaning and product implication.
  • One quote is not automatically an insight.
  • Strong insights are specific enough to influence a decision.
  • Insights should preserve uncertainty when evidence is limited.

Observation vs. insight

Observation: Four of five participants searched the top navigation for export.

Insight: Users expect export to be a workspace-level action because they think of reporting as applying to the whole dataset, not the current table view.

The insight adds interpretation and product relevance.

What makes a strong research insight?

  • it is grounded in evidence
  • it explains a pattern
  • it reveals motivation or mental model
  • it matters to a product decision
  • it does not overclaim certainty

Insight vs. recommendation

An insight explains what the team learned. A recommendation proposes what to do next.

Keeping them separate helps prevent preferred solutions from distorting interpretation.

How do teams create insights?

  1. Capture observations from research.
  2. Group related evidence.
  3. Look for recurring behaviors and contradictions.
  4. Ask what underlying need or expectation explains the pattern.
  5. Write the insight in plain language.
  6. Connect it to a product implication.
  7. Review whether the evidence truly supports it.

Common mistakes

Turning quotes into insights

Quotes support an insight but rarely constitute one alone.

Writing obvious statements

“Users dislike errors” does not create useful understanding.

Mixing recommendation into the insight

Explain the learning before deciding the solution.

The bottom line

A research insight answers: what pattern did we learn, why is it happening, and why should it change a product decision?

Related terms

User research · User interview · User need · Problem statement

Relevant Figr resource

Read User Research Methods for research collection and synthesis approaches.

Related Figr Projects

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