- Filters decide which data is included, for example only 1–2 star reviews, or only responses from Germany.
- Segments split the data into groups and show them side by side, for example results by gender, by brand, or by mobile carrier.
- Views save a combination of filters and segments as a tailored version of the report that you can share with a specific audience.
Filters
Filters narrow down the data that every insight element in the report uses. Common examples:- By brand — compare customer experiences across products.
- By country — identify regional differences.
- By rating — focus on 1–2 star reviews to uncover pain points.
- By date — look at a specific period, such as the last 30 days. See Date range.

Date range
The Date range filter helps you examine how key metrics, customer sentiment, or feedback trends evolve over time. It’s especially powerful when tracking changes before and after events like product updates, marketing campaigns, or customer service improvements.
Filter by date
Go to Filters → Review Date to limit the report to a time window. You can choose between two modes:- Rolling range — updates automatically over time, for example “Last 12 months,” “Last quarter,” or “Last 30 days.”
- Static range — fixed start and end dates picked from the calendar.

Compare time periods
Use the Date range and Comparison settings to visualize changes over time and compare key metrics between different periods. Under Date range, choose how far back your data should go:- All time – includes your entire dataset.
- Fixed timeframes such as Last 7 days, Last month, or Last year.
- Dynamic ranges like Most recent week/month/quarter/year with data, which automatically adjust based on when new data comes in.
- Custom date range – manually select start and end dates.

Choose an interval
The Date aggregation (or interval) setting defines how results are grouped over time. Each data point on your chart represents one interval, so choosing the right granularity has a big impact on how trends are read.
- Match the interval to your date range. A daily interval over two years produces a crowded, unreadable chart; a yearly interval over three months gives you a single bar.
- Consider data volume per interval. If a single day only has a handful of responses, daily aggregation will look spiky and unreliable. Move up to weekly or monthly so each point reflects a meaningful sample.
- Align with how the business reports. If stakeholders track results monthly or by quarter, mirror that interval so your report drops straight into existing reviews.
- Use shorter intervals to investigate, longer intervals to communicate. Drill down to daily or weekly when diagnosing a spike, then switch back to monthly or quarterly for the shareable view.
Segments
Segments let you compare different cuts of your data side by side, such as Brand A vs. Brand B, or new vs. returning customers. Once segments are set, insight elements that support them show results for each segment separately. Segments are built in the Report Master, so they’re available in every view of the report.Create segments manually
Use this when you know exactly which variable you want to split by.Open Edit Master
Select a variable
Choose the values
Create segments with AI
Use this when you’d rather describe what you want in plain language.Open Edit Master
Edit the Overall segment
Describe the segments
Manage segments
Once segments exist, you can:- Rename a segment by clicking its name in the editor.
- Change the color of a segment. Colors are assigned automatically, but you can match them to your branding.
- Control visibility of segments in specific views.
- Duplicate a segment when you need a variation of it.
Views
Every report has two layers:- The Report Master is the blueprint. This is where you add sections and insight elements, arrange the layout, and build segments. Any change here updates every view automatically.
- Views sit on top of the Master. A view can apply or lock filters, choose which segments are shown, and be shared on its own without sharing the rest of the report.

- By region: DACH, North America
- By customer group: new vs. returning customers
- By feedback type: detractors, negative sentiment
- By product or channel: mobile app, checkout flow
- By time period: pre- and post-launch, last 30 days
- By stakeholder: leadership summary, product team
Create a view
Add a new view
Apply filters and segments
Name the view
Lock filters (optional)
Compare brands, regions, or other groups
There are two ways to compare groups such as brands, and you can combine them:With segments
Once you have segments, for example one per brand, region, or customer type, you can compare them side by side and see where the differences are real.Create segments for the groups you want to compare
Add a Topic Breakdown / Heatmap
Look for significant differences
Add sentiment
With views
Create one view per brand, each filtered to that brand. Every view shows the full report, with the same sections and insight elements, for just one brand, so you can switch between views to compare.Create a view for each brand
Switch between views
Share each view with its owner (optional)
Combine both
Views and segments work together. For example, add a view per brand, and within each view, segment by region to see how that brand performs in DACH vs. North America. Or keep one comparison view with all brands as segments for the overall picture, alongside individual brand views for each team.Common tasks
Compare brands, regions, or other groups side by side
Compare brands, regions, or other groups side by side
Show my results broken down by a column, such as gender
Show my results broken down by a column, such as gender
Give a team a report that only shows their data
Give a team a report that only shows their data
Pre-select filters that recipients see when they open the report
Pre-select filters that recipients see when they open the report
Have every chart split by a group as soon as someone opens a view
Have every chart split by a group as soon as someone opens a view
Keep filter details private when sharing
Keep filter details private when sharing
Compare two time periods
Compare two time periods
Things to know
- Case limit applies to filters and segments. If a filter or segment leaves too few responses, insights are hidden to protect respondent anonymity. See Case Limit.
- Agent respects the view’s filters. When Agent is enabled on a shared, filtered view, recipients can only ask questions about the data in that view.
- Insights Radar is tied to the saved view. If you change filters or segments away from the view’s saved configuration, the Insights Radar rail is disabled until you reset to the saved view. See Insights Radar.
- Alerts have their own filters. You can scope an alert to a specific part of your data when you set it up. See Setting Up Alerts.