Know what to fix — without searching for it

Key Findings automatically surface the most important issues across your product so teams can prioritize what affects user progress the most. They turn scattered evidence into clear decisions about what deserves attention now.

Prioritized findings list with severity and action indicators

Core idea

From data to clear decisions

Instead of analyzing multiple tools one by one, Key Findings bring together behavior, signals, and outcomes into clear, actionable insights. A booking flow with high drop-off and repeated attempts can be surfaced as a critical issue before teams lose time searching for it manually.

Insight card summarizing a critical user-journey problem with recommended priority

What you get

Clear, prioritized insights

Issue

What is going wrong in the user journey right now.

Impact

How the problem affects task completion, confidence, or continuity.

Evidence

What supports the finding across behavior, signals, and outcomes.

Priority

What should be fixed first based on user impact and urgency.

Finding card with issue, impact, evidence, and priority sections

Automatic detection

Automatically identify critical issues

Key Findings are generated by combining signals, intent mismatches, funnel drop-offs, and screen conversion into one summarized issue stream. This helps teams surface what is urgent without manually stitching evidence together.

High drop-off after activation

Repeated failed booking attempts

Slow screens causing abandonment

System generating findings from signals, intent, funnels, and screen conversion

Prioritization

Focus on what matters most

Not all issues are equal. Key Findings rank problems based on impact, frequency, and severity so teams can focus first on the breakdowns most likely to affect user progress and completion.

High-impact + high-frequency → critical

Lower-impact issues → secondary

Prioritized findings ranked by impact, frequency, and severity
Finding linked directly to replay, heatmap, zoning, and funnel evidence

Connected evidence

Every finding is backed by evidence

Each insight connects directly to the underlying evidence so teams can validate the issue before acting on it. That keeps findings decision-ready while still grounded in real product behavior and outcomes.

Finding → session replay

Finding → heatmap

Finding → zoning

Finding → funnel

From insight to action

Turn findings into improvements

Use Key Findings to guide product decisions and improve user outcomes quickly instead of debating where to start. The goal is to move from prioritized issues to practical fixes with less delay.

Fix high-friction steps

Improve clarity in flows

Reduce drop-offs

Before and after improvement view driven by prioritized findings

Related features

Connected capabilities

UX signals preview

UX Signals

Detect issues automatically across user journeys so important problems surface without manual searching. This helps turn raw signals into clearer findings that teams can prioritize.

Intent tracking preview

Intent Tracking

Explain why issues happen by showing what the user expected to do and where that path broke. This gives findings a stronger explanation, not just an alert.

Funnels preview

Funnels

Measure how much each issue affects task completion so teams can understand which breakdowns have the greatest operational cost. This helps rank what deserves attention first.

Screen conversion preview

Screen Diagnosis

Understand where a finding occurs and what screen conditions are contributing to it. This helps teams move from a prioritized issue to the exact screen that needs improvement.

FAQ

Common questions

Key Findings are summarized, decision-ready insights that surface the most important product issues without requiring teams to search across multiple tools. They help digital product teams focus on the problems most likely to affect user progress.
Findings are generated by combining behavior, friction signals, outcomes, and broader flow evidence into a clearer issue summary. The goal is to highlight what matters most, not overwhelm teams with raw data.
Yes. Findings are grounded in real session evidence and system signals, then prioritized using impact and severity rather than guesswork. Teams can always trace a finding back to supporting context before acting on it.
EaseUse is designed around privacy-safe session handling so teams can review important issues responsibly. The focus is on identifying breakdowns in experience without exposing unnecessary user information.

Stop searching for problems. Start fixing them.