Turn Research Findings into Product Decisions

Connect research evidence to decisions with a filled decision log, clear ownership and follow-up measures. Learn how to separate observations, interpretations and impact.

Research creates value when someone uses credible evidence to make a decision. A finding, a recommendation and a business outcome are different things. Keep the chain between them visible so a reader can assess what the study does and does not support.

Build the evidence-to-decision chain

Layer	Question it answers	Example, using a hypothetical setup study
Observation	What happened?	A participant stopped when asked for administrator access
Interpretation	What might explain it?	The person could not authorise the connection and did not know who could
Finding	What pattern is supported across evidence?	Setup depends on a handoff that the current flow does not explain
Recommendation	What should we investigate or change?	Try a clear request-to-administrator route
Decision	What will the team do?	Prototype the handoff before redesigning unrelated screens
Evaluation	Did the change help?	Observe handoff completion, failure and recovery in another round

The example is a teaching scenario, not a measured client outcome. The distinction between observations and interpretation is also useful when analysing a research session.

Use a decision log people can challenge

Download the decision log worksheet, or copy these fields:

Field	Filled example
Decision	Whether to add an administrator handoff
Owner	Activation product manager
Evidence	Session IDs and timestamps showing access barriers
Contrary evidence	Participants with administrator access completed setup
Confidence and limits	Directional qualitative finding; prevalence not measured
Action	Prototype an invitation with clear permission information
Follow-up	Observe authorised and unauthorised users attempting the flow
Review trigger	After the next study round; sooner if security requirements change

Do not fill missing evidence with a stronger adjective. If the claim rests on one session, record it as a question to investigate. If independent sources disagree, preserve the disagreement rather than averaging it into a false consensus.

Choose the right analysis

Use thematic analysis for an interpretive account of patterns in qualitative data. Use an evidence matrix when the team needs to inspect extracts across participants or cases. Neither makes a small purposive sample representative of your market.

When findings compete for attention, prioritise opportunities by the decision and cost of being wrong. A severe failure affecting a small, important group can deserve attention even if it is not the most frequently mentioned theme.

Make the readout useful

Lead with the decision, the strongest relevant evidence and its limitations. Give stakeholders a short written record they can revisit, alongside access-controlled supporting material. GOV.UK’s guidance on sharing findings describes ways to make research available to a team.

Choose a research report format and stakeholder readout appropriate to the decision. A long deck is not evidence of impact.

Measure the result honestly

Record whether research changed a decision, then separately measure what happened after the change. Adoption, retention and revenue can move for many reasons. Without a suitable comparison, report an observed change rather than attributing it entirely to research.

Use research ROI and influence measures to select the appropriate claim. Keep unresolved questions in the research debt register so they remain visible after the readout.

Glasgow Research helps B2B SaaS teams turn research into product decisions. Discuss your study.

Explore analysis and research impact

Choose the guide that matches your next research decision.

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