Step 1: Access the platform
Step 2: Enter credentials / SSO (if applicable)
Step 3: Navigate to Text Genie module
This opens the Text Genie list page where you can view existing Text Genie projects.
The Text Genie Configuration window will open.
A loading state appear (e.g., Populating… We are generating data please wait) while the system processes responses.
If you want to expand your existing Text Genie analysis, you can add more sources (additional surveys and questions) to the same dashboard.
c. Select the survey to analyze
Under Select survey(s). Choose one survey that you want to add as a source.
You can use the search option inside the dropdown to quickly locate the survey.
d. Add question(s)
Under Add a Question, select the question(s) you want to include and click Add.
e. Add questions from additional surveys (if required)
If you want to include questions from another survey, repeat Step c and Step d:
f. Review your selections
Confirm that the selected survey(s) and question(s) appear in the configuration window.
If options are available to edit or remove selections, use them before proceeding.
g. Save changes
Click Save to apply the updated configuration.
The system may take a few moments to update the dashboard and regenerate insights.
What it is:
The global filter lets users narrow down the entire Text Genie analysis (Home, Feedback, RCA) using multiple filter types such as Date/Week/Month, Theme, Sentiment, NPS, and Embedded Data.
How it works:
B. They can either:
Apply → instantly applies the selected filters to the current view
Save & Apply → applies the filters and saves that filter set for reuse later
Saved filters: When a filter is saved, users can open Show saved filters to view previously saved filters and quickly apply them again without rebuilding the selection.
Users can share the project view via a link and choose the language format before sharing:
The Home tab is the default landing page of a Text Genie project. It provides an at-a-glance view of key insights and interactive sections that help you explore feedback patterns quickly.
The Summary section provides an AI-generated overview of the key points found in the selected feedback. It consolidates common themes, recurring issues, and notable highlights into a single narrative so users can quickly understand what respondents are saying—without reading every individual response.
b. Theme Sentiment Analysis
This chart shows the average sentiment for each theme for the selected time period.
Overview
The Browse Theme by Impact Volume section helps you explore feedback based on themes and sub-themes, so you can quickly identify which areas have the most feedback and drill down into specific topics.
This section is typically used to:
a. Select a Theme
From the Themes list (left panel), click a theme to focus on a specific area (for example, community services, pricing, facilities, etc.).
b. Select a Sub-Theme
Once a theme is selected, the Sub-Themes list (middle panel) will show more detailed categories under that theme.
Click a sub-theme to narrow the analysis further.
c. View Feedback for the selection
After selecting a theme and sub-theme, the feedback panel (right side) displays responses tagged under the chosen theme/sub-theme.
This helps you review exactly what users are saying about that specific topic.
The Expand option allows you to open an expanded view of the selected results, making it easier to review feedbacks in more detail.
When you use Expand, Text Genie displays all feedback related to the selected theme and sub-theme in an expanded format, so you can browse the complete set of responses without being limited to the condensed panel view.
The Word Cloud section provides a visual way to explore the most prominent words/phrases within the feedback.
How exploration works (3 levels)
Feedback visibility
At each level (Theme → Sub-theme → Word cloud), users can view the related feedback on the right side, helping validate why a word or phrase is appearing.
Theme Cards provide a consolidated snapshot for each theme.
Each Theme Card typically includes:
a. Overall Sentiment (Theme level): a sentiment indicator representing how positive/neutral/negative the theme’s feedback is overall.
b. Summary: short theme-specific narrative of what respondents are saying under this theme.
c. Dominant Segments: one-line view of the most common segments/groups where this theme appears most strongly (based on available respondent attributes).
d. Issues: key problems detected for the theme.
Related Feedback: clicking this shows the feedback entries that support that issue
e. Actionables: recommended actions that can be taken based on the theme’s issues/opportunities.
f. Sub-theme Level Distribution: shows how the theme’s feedback is distributed across its sub-themes (volume/share over the selected time grouping).
The Feedback page is the response-level view of Text Genie, where users can browse individual feedback entries (open-ends and other question responses) along with their detected sentiment and theme/sub-theme classification. It helps users validate what Text Genie understood, and quickly drill into specific responses using search and filters.
Each feedback card contains:
a. Sentiment indicator (top-right): Shows the sentiment score/value and the sentiment label (e.g., positive/negative/neutral) for that response.
b. Response metadata (top area): Displays the response identifier and supporting context like source/survey name and timestamp (as shown in the card header).
c. Question + response text (main body): The question prompt and the respondent’s actual answer/feedback.
d. Theme and sub-theme tags (classification row): The tags represent which theme(s) and sub-theme(s) the feedback belongs to.
e. Change in Language
When the user clicks the edit icon on a feedback card:
a. A Classification modal opens.
b. The modal lists all available themes, and under each theme it shows the relevant sub-themes.
c. The user can add or remove sub-themes for that specific feedback by selecting/deselecting them.
d. On confirmation, the feedback’s classification is updated and reflected back on the feedback card.
The RCA (Root Cause Analysis) page is meant to explain why a score changed (mainly NPS, and sometimes Sentiment) by:
That summary is a plain-language explanation of what changed and the likely contributors.
A clean way to describe it in the guide:
Those cards are essentially “change detection + explanation” entries.
Each card includes:
Critical interpretation (this is the key):