Generating insights
- Set the date range for the responses you want to analyse (default: last 30 days).
- Click Generate insights.
- Analysis typically completes in 10–30 seconds depending on response volume.
Generating insights consumes API quota. Each generation analyses all responses
in the selected date range. Re-generating with the same date range produces a
fresh analysis.
Overview dashboard
Four stat cards summarise the analysed dataset:| Card | What it shows |
|---|---|
| Total feedback | Number of responses analysed, with a response rate progress bar |
| Response rate | Percentage of visitors who completed the form |
| Overall satisfaction | Composite satisfaction score (0–100), with a trending indicator when above 70 |
| Actionable insights | Count of key insights identified, broken down by priority |
Sentiment analysis
The sentiment tab analyses the language in text answers and shows: Sentiment trends over time — three lines (positive, neutral, negative) plotted by date. Useful for detecting whether a product change shifted sentiment. Top positive words — the words most associated with positive responses, ranked by frequency. Top negative words — the words most associated with negative responses, ranked by frequency. Sentiment by source — a stacked bar chart showing the sentiment split for each traffic source (URL, QR, Embedded, Email, Other). Helps you detect whether certain channels attract more critical respondents. An AI insight card summarises the sentiment findings in plain language with percentage breakdowns.Topic analysis
The topics tab clusters response text into recurring themes and shows: Main topics — a bar chart of the most-mentioned topics, with each bar coloured by sentiment score:| Colour | Sentiment score |
|---|---|
| Green | ≥ 70 (positive) |
| Amber | 50–69 (neutral) |
| Red | < 50 (negative) |
Summary & recommendations
The summary tab contains two sections generated entirely in plain language: Insights — a prose summary of the most significant patterns, strengths, and weaknesses identified across all responses. Recommendations — a prioritised list of actionable suggestions based on the insight findings. Each recommendation is tied to a specific pattern in the data.Trends
The trends tab surfaces changes in key metrics over the analysis period: Key metrics change — a list of metrics (e.g. completion rate, average satisfaction) with their percentage change, direction (↑ or ↓), a description of what drove the change, and a supporting data point. Emerging patterns — newly detected themes or behaviours that have grown in prominence during the period, with an impact statement for each.Viewing historical runs
Click the History dropdown (top right of the AI tab) to see all previous insight generations. Each entry shows:- When it was generated
- How many responses were included
- The date range that was analysed
Next steps
Analytics overview
Raw aggregate metrics: visits, responses, completion rate.
Browsing responses
Read the individual responses the AI analysed.