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AI analysis overview
The AI Analysis feature helps admins quickly understand, categorize, and analyze large volumes of resident input. It works for both ideation and surveys, offering:
Qualitative analysis: Summarizing textual input from ideas, comments, or survey responses
Quantitative analysis : Exploring correlations between demographics, tags, and survey responses
ℹ️ Access to this feature depends on your plan.
AI analysis interface
The interface has four main columns:
Tag Management: Create and manage tags to group inputs
Input List: Shows all contributions to analyze
User & Filter View: View anonymized user responses, apply filters, or drill into comments
Summaries & Questions: Summarize filtered inputs or ask AI for insights
How to use AI analysis for ideation/proposals?
Go to the project’s Input Manager
Click the blue Open AI Analysis widget
Summarize inputs and comments (scroll to the comment section in column 3)
Use filters (e.g., by demographics) to narrow focus before summarizing
How to use AI analysis for surveys?
Go to the Survey Results page
Scroll down to the question you want to analyze
Click Explore to add the questions to the analysis
Optionally, add follow-up questions for deeper analysis
How to filter and preview inputs?
Filter by timeframe, engagement level, or demographics
Preview how answers distribute across demographics (only for users who completed their profile)
ℹ️ Engagement level filter is only available for ideation/proposals projects
How to use summarize and ask a question?
Use Summarize to create a digest of selected inputs
Use Ask a Question to probe further
Check in-line references and validate with original inputs
Drag summaries into platform or project reports (summaries appear in the “AI” tab)
Tagging methods in AI analysis
Tagging helps cluster and interpret user input. The tool supports:
Fully automated tagging: AI assigns common tags.
By label: Create your own tags.
By example: Provide manual examples to teach AI tagging.
Sentiment tagging: Mark input as positive or negative.
Language detection: Identify the input language.
Manual tagging: For full control, you can tag every input manually.
What are auto insights?
Auto‑Insights connects tags, demographics, and survey questions to uncover patterns.
Displays key correlations (e.g., which age group engages with which tag)
Includes a heatmap view, with boxes marked if a correlation is statistically significant
Unit of analysis can be switched between:
Inputs (contributions)
Likes
Dislikes
Participants
Difference:
In ideation, Auto‑Insights connects demographics to tags
In surveys, Auto‑Insights links demographics, tags, and survey questions
You can get into the auto-insights by pressing explore below the demographic information of the AI tool interface.
Why is human oversight recommended?
The Summarize and Ask a Question tools generate quick insights but require human oversight.
Summaries include clickable references to original inputs for transparency
Overloading the AI with too many inputs can reduce accuracy—filters & tags help
Missing in-line references may happen for reasons like:
Contextual relevance (references not needed)
Balancing readability (avoiding excessive citations)
System refinements (constantly improving)
⚠️ Summaries are not 100% accurate. Always cross-check key findings with the original data.
AI Masterclass
For a complete demonstration of our AI Analysis tool, check out the recording of our AI Masterclass. Select your language for the appropriate recording.