Howuku gives product teams behaviour evidence across heatmaps, recordings, feedback, and conversion questions. Strawberry helps turn those separate signals into a focused research pass: identify friction, compare sessions, preserve the evidence behind a finding, and prepare the next experiment without claiming more certainty than the data supports.
01
Start with the user behaviour that needs explaining.
A heatmap is a clue, not a conclusion.
Set the page, segment, task, and observation first so the team does not turn a visual pattern into a universal claim.
02
Compare session evidence without cherry-picking.
A memorable recording can make a weak pattern feel decisive.
Review a defined sample and note both the repeated friction and the sessions that do not fit the story.
03
Turn feedback into a product question that can be tested.
Feedback language tells you what users experienced, but the solution still needs validation.
Preserve quotes and context while turning a cluster into a clear experiment or research question.
04
Review critical journeys at the cadence of product change.
A payment or signup flow deserves scrutiny after releases and campaigns that change traffic or interaction design; a stable settings page may need a monthly sample. Record the Howuku journey and evidence rules in a skill, then have a routine assemble the appropriate research pack.
Howuku Strawberry