Filters in Feedier allow you to explore, segment, and interpret your feedback with precision. They help you refine your analysis, highlight key insights, and understand customer experiences based on specific criteria.
Whether you want to analyze a full survey, isolate a particular topic, or compare customer segments, filters give you the flexibility to extract the exact insights you need.
1. Why Filters Matter
Precise Targeting & Segmentation
Filters let you analyze feedback based on customer attributes, survey results, topics, satisfaction levels, or any relevant context. This gives you a clear view of who is expressing feedback, what they are saying, and why.
Faster, More Focused Analysis
Instead of working through large volumes of data, filters highlight only what is relevant. Teams can quickly focus on priority insights and act with confidence.
Issue & Opportunity Detection
Filtering by satisfaction, sentiment, NPS profile, or topic makes it easier to identify emerging trends, recurring pain points, and optimization opportunities.
Customized Views for Each Team
Filters help you build dashboards and reports tailored to each stakeholder—management, product, customer service, operations, etc.
Tracking Progress Over Time
Filtering by date, teams, or products lets you monitor the impact of improvements and measure performance across various periods.
2. Where You Can Use Filters in Feedier
Filters are consistently available across the platform and adjust all relevant data accordingly.
Live Feed
Refine the list of feedback and focus only on submissions that match your selected criteria.
Dashboards
Improve the relevance of KPIs and charts by focusing on specific audiences, periods, or themes.
Text Analysis
All topics, verbatims, and themes update based on the filters you apply.
Action Plans
Filters help the system generate recommendations tailored to a specific customer segment, product scope, or business context.
3. Filter Scope: Full Feedback vs. Feedback Item
Each filter can be applied with a defined scope so you control the level of detail the system returns:
Full Feedback (Default)
The entire feedback submission is included if any response within it matches the filter.
Use this scope when you want:
complete customer context
consistent KPI calculations
broader experience measurement
Feedback Item
Only the specific response items matching the filter are shown.
Use this scope when you want:
precise topic-based analysis
a clean view of only relevant comments
extraction of specific insights without unrelated data
Example
Feedback submission includes:
Rating: 2
Verbatim A (Topic = Delivery): “The delivery was very slow.”
Verbatim B (Topic = Product Quality): “The product quality is excellent.”
Filtering by Topic = Delivery:
Scope | What You See |
Full Feedback | Rating + Verbatim A + Verbatim B |
Feedback Item | Only Verbatim A |
4. Building Complex Filter Conditions
Feedier allows flexible combinations of filters using groups, AND, and OR logic.
Filter Groups
You can organize conditions into groups to clearly structure your logic.
Conditions inside a group use OR logic (any matching condition applies).
Groups combined with each other use AND logic.
Logic Rules
OR conditions are evaluated inside their group
AND conditions link groups
This allows you to create precise, multi-condition scenarios
Example of Combined Logic
Group 1:
Time Period = Last Month
AND
Group 2:
City = Madrid OR
NPS = Detractors
This returns :
All feedback from last month where the city is Madrid or the respondent is a detractor.
Groups are always visually separated in the filter window so you can easily understand the applied logic.
5. Most Commonly Used Filters
Feedier offers more than 15 filters. The following are the most frequently used:
Attribute
Attributes are enriched data points attached to feedback (city, product ID, customer type, etc.).
Filtering by attribute helps you target specific customer segments or operational categories.
Time Period
Filter feedback based on a specific time window.
You can use:
predefined dynamic ranges (Last 7 days, Current Year, etc.).
or custom ranges (e.g., 01/01/2025 → 01/02/2025)
Survey
Analyze or compare feedback based on the survey it belongs to.
NPS
Segment responses by Promoters (9–10), Passives (7–8), and Detractors (0–6).
Satisfaction Ratio
Analyze feedback based on average satisfaction ratings.
Topic
Filter by themes from verbatim responses.
6. Segments: Save Your Favorite Filter Sets
Segments allow you to save entire combinations of filters and reuse them anywhere on the platform. You can also assign segments to users, applying the filters automatically when they log in.
Examples:
“France + Retail Segment + NPS Detractors”
“2025 Staff Survey Responses”