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Read results and metrics
Move from collection counts to block-level evidence.
What it does
Understand who finished, where difficulty occurred and what supports a decision.
When to use it
After the first responses and before presenting conclusions.
Before you begin
- Collected responses
- Read access to the study
See how it works
Real screens with demo data
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Read collection
Open Results and check responses, completions, screen-outs and abandonments. Separate study completion from success on a task.
- Study completion ≠ task success
An example to try
A task has low completion; open sessions to understand where people stop.
What you see in results
- A conclusion tied to the analyzed slice
- Specific evidence to review and share
Avoid these mix-ups
- Distributions use completed sessions by default; including partials changes the base.
- A standardized metric needs the correct items; a standalone scale does not automatically become SUS.
Keep learning
Compare versions and segments
Interpret differences using comparable samples.
Explore Journey, heatmaps and paths
Locate friction on each study screen.
Export data and present findings
Choose CSV, report or presentation for each audience.
Opinion scale and metrics
Choose the right scale for clarity, recommendation, satisfaction or usability.