User Feedback

💬 GermainUX Feedback Overview

GermainUX captures user feedback in near real time and connects it with the user's session, application activity, errors and journey context.

This allows organizations to move beyond a feedback score or comment and understand:

Aspect

What the user was trying to accomplish

What happened before the feedback was submitted

Which page, product, feature or workflow was involved

Whether an error or performance problem occurred

How many other users experienced the same issue

Which feedback requires immediate follow-up

Feedback can be analyzed individually or at scale to improve customer experience, employee productivity, adoption, conversion and retention.

📑 Capture Feedback with a Popup

The GermainUX Feedback Popup allows real application users to provide feedback directly within a monitored application.

User Feedback component

Depending on its configuration, the popup can capture:

Type

Thumbs up or thumbs down

Positive or negative feedback

Written comments

A rating or score

A question or survey response

Page, application and session context

The popup's appearance, questions, triggering conditions and behavior can be customized for the monitored application.

See .

📊 NPS and Other Feedback Scores

GermainUX can collect and analyze Net Promoter Score (NPS) when the feedback mechanism captures the standard 0–10 likelihood-to-recommend question.

NPS responses are classified as:

Score

Category

0–6

Detractor

7–8

Passive

9–10

Promoter

NPS is calculated as:

NPS = Percentage of Promoters − Percentage of Detractors

A thumbs-up or thumbs-down response is useful feedback, but it is not an NPS score unless the standard NPS question and 0–10 scale are used.

GermainUX can also support other configured feedback measures, ratings or survey models.

🔗 Connect Feedback with Session Context

Feedback is most useful when it can be connected with what the user actually experienced.

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Replay Feedback to understand the context - GermainUX


Depending on the monitored application and privacy configuration, GermainUX can associate feedback with:

Context

User and session

Application and page

Journey or workflow step

Browser, device and operating system

Errors and messages

Performance and transaction data

Campaign or referrer

Session Replay

This helps teams distinguish among feedback caused by:

Possible Cause

Confusing content or design

A broken feature

Slow application performance

An ineffective business process

Missing information

A product, pricing or policy concern

A successful or especially positive experience

🗺️ Visualize Feedback at Scale

Use an Aggregate Dashboard to quantify feedback across the selected time range and population.

User Feedback aggregate data

Feedback KPI or Feedback Pivot for User Session Replay KPI can be used.

Measures can include:

Measure

Total feedback volume

Positive and negative feedback counts

Positive and negative feedback percentages

Comment count

NPS, when properly configured

Unique users or sessions providing feedback

Feedback associated with errors or drop-offs

This view helps determine the overall impact and whether feedback is improving or declining over time.

🤖 Analyze Feedback with AI

When AI-powered analysis is enabled, GermainUX can automatically analyze written feedback for:

Analysis

Sentiment

Topic or category

Urgency

Severity

Customer intent

Business impact

Recommended priority

Suggested follow-up action

This helps teams prioritize thousands of comments and identify emerging issues without reviewing every response manually.

AI results should support—not replace—human review for high-impact, ambiguous or sensitive feedback.

🧭 Segment Feedback

Use a Pivot Dashboard to identify where feedback is concentrated.

Feedback can be segmented by available dimensions such as:

Dimension

Application, page or feature

Product or service

Journey or workflow step

User type, role, group or department

Customer segment

Browser, device or operating system

Country, region or location

Campaign or traffic source

Error category

Positive, negative or NPS category

Segments help teams determine whether an issue is widespread or limited to a specific population or experience.

👀 Review Comments

Use a Drill-through Dashboard to review the feedback instances behind an aggregate or pivot result.

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This view can help teams:

Action

Read individual comments

Compare feedback within a selected segment

Identify repeated themes or wording

Locate users or sessions requiring follow-up

Select representative feedback for deeper analysis

Filters can narrow the list by sentiment, score, application, page, user segment, time period or other captured attributes.

🔎 Investigate Feedback in the Analysis Dashboard

The Analysis Dashboard brings feedback trends, related signals, segmentation and instance-level evidence into one investigation.

Use it to answer:

Question

Is negative feedback unusually high?

When did the change begin?

Which segments are most affected?

Which errors, performance problems or workflow events moved with the feedback?

Is the issue new, recurring or concentrated within a specific release?

Which individual sessions best represent the problem?

The Analysis Dashboard can surface:

Insight

Feedback compared with its baseline

Related KPIs

Leading Factors and degraded segments

Relevant errors and events

Individual feedback instances

Associated user and session context

This helps move from “negative feedback increased” to an evidence-based explanation of why it increased and who was affected.

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⏯️ Replay Feedback in Context

When Session Replay is available, open the recorded session at or near the time the feedback was submitted.

Replay can show:

Replay Reveals

The user's actions before submitting feedback

The page or workflow involved

What the user saw

Whether the application was slow or unresponsive

Which error or message appeared

Whether the user retried, abandoned or completed the task

Both positive and negative feedback can be replayed:

Feedback type

What replay can reveal

Feedback type

What replay can reveal

Positive

Which content, workflow or interaction created a successful experience

Negative

Which UX, process or technology friction led to dissatisfaction

Session Replay provides behavioral evidence, but teams should avoid assuming that every observed event caused the feedback. Validate the relationship using the available context and patterns across other sessions.

More details on Session Replay

🔔 Alert and Act on Feedback

GermainUX can trigger alerts or automated actions when feedback meets configured conditions.

Examples include:

Example

Alert the CX team about urgent negative feedback.

Notify Support when feedback is associated with a blocking error.

Route a billing complaint to the appropriate team.

Create a follow-up task for a high-value customer.

Send a scheduled summary of the most common issues.

Notify a product team when feedback for a feature deteriorates.

Actions can include the available user, comment, application, session and journey context. Access to personal information remains subject to the organization's privacy settings and permissions.

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Feedback alert example - GermainUX

More details on alerts.

More details on automation that can be triggered after a feedback is received.

🔁 End-to-End Feedback Workflow

  1. Capture a score, reaction or comment.

  2. Connect it with the user, session and application context.

  3. Quantify feedback on the Aggregate Dashboard.

  4. Segment the results on the Pivot Dashboard.

  5. Review comments and instances on the Drill-through Dashboard.

  6. Analyze causes and Leading Factors in the Analysis Dashboard.

  7. Replay representative sessions.

  8. Alert or route urgent feedback.

  9. Track corrective action and validate whether feedback improves.

🔒 Privacy and Data Protection

User feedback and session data can contain personal or sensitive information. Configure collection and access according to organizational requirements.

GermainUX can be configured to:

Option

Mask or anonymize sensitive values

Exclude selected fields or page areas

Restrict access by role

Apply data-retention policies

Control whether Session Replay is available

Limit the customer information included in alerts

Collect only the information required to understand and address the feedback.

Component: RUM JS, RUM Ext

Feature Availability: or later