Insight is HelpAlive’s analytics layer. It’s where you see what your users are doing — per user, per workspace, per page — drawn from the events the SDK auto-captures. No tag plan, no instrumentation backlog. You’ll find Insight in the dashboard sidebar. It has two main tabs:Documentation Index
Fetch the complete documentation index at: https://docs.helpalive.com/llms.txt
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| Tab | What you do here |
|---|---|
| Audience | Browse workspaces and the users inside them. Drill into any one for a full activity timeline. |
| Reports | Date-range dashboards: live users, total users, sentiment, churn signals. |
Why Insight is different
If you already use FullStory, Amplitude, or Mixpanel, Insight isn’t trying to replace them. We focus on adoption and friction — answering “what should we improve?” rather than “what happened?” The pieces that make this work:Auto-captured behavior
Clicks, pageviews, form submits, rage clicks, DOM errors — captured automatically, with no tag plan to maintain.
Workspace-aware grouping
Every event is tied to the workspace from your
identify() call, so analytics are organized the way B2B teams actually think about customers.Friction signals
Rage clicks, DOM errors, form abandonment — surfaced in user profiles so support knows what was happening at the time of an incident.
Always-current
New screens are visible the moment you ship them. There’s no backlog of “we need to add tracking for that.”
What’s in Audience
The Audience tab is a two-pane view: a workspace rail on the left, a user table on the right. Click any workspace to see its detail; click any user to see a full activity timeline. See Audience for the full breakdown.What’s in Reports
Reports is a date-range dashboard. Today it covers:- Live users today — who’s active right now.
- Total users — counts and trends over time.
- Sentiment — Agent rating distribution and trend.
- Adoption summaries — high-level usage trends.
What’s in Sentiment
The Sentiment view shows how users are rating your Agent’s answers:- Overall thumbs-up / thumbs-down ratio.
- Trend over time.
- Topic-level rating distribution.
What’s still maturing
| Area | Status |
|---|---|
| Per-feature adoption rates | In progress — depends on automatic feature discovery. The signals are captured today; the analysis is being built. |
| Feature health scores | In progress — same dependency. |
| User segments | UI shell today. |
| Custom report exports | Planned. |
| Churn-risk views | UI shell exists; the risk model is planned. |
Next steps
Audience
Per-workspace and per-user analytics.
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