> ## Documentation Index
> Fetch the complete documentation index at: https://docs.winnerr.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Person Insights

> AI-powered intelligence and behavioral analysis for individual contacts

The Insights tab (`/people/[id]/insights`) on a contact's profile shows Winnie's AI analysis of that person — lead scoring, engagement patterns, predicted behavior, and recommended next steps.

## What Insights shows

### Lead score

A 0–100 score based on the contact's engagement level, response patterns, and behavioral signals:

| Score range | Meaning                                                        |
| ----------- | -------------------------------------------------------------- |
| **80–100**  | Hot lead — actively engaged, likely to transact soon           |
| **50–79**   | Warm lead — interested but not urgent                          |
| **20–49**   | Cool — minimal engagement, may need nurturing                  |
| **0–19**    | Cold — no recent activity, consider re-engagement or archiving |

The score updates automatically based on new activity.

### Engagement timeline

A visual chart showing the contact's interactions over time — calls, emails, SMS, meetings. Spot patterns like "this client always responds within an hour" or "engagement dropped off 2 weeks ago."

### AI summary

A natural-language summary of your relationship with this contact:

> "Sarah has been actively looking at 3-bedroom condos in the $600K–$800K range in Midtown. She responds to calls within 30 minutes and prefers text over email. Last meaningful interaction was 4 days ago — a 12-minute call where she expressed interest in 45 Pine St."

### Recommended actions

Based on the analysis, Winnie suggests specific next steps:

* "Schedule a showing for 45 Pine St — Sarah mentioned interest last call"
* "Send a market update — 3 new listings match her criteria"
* "Follow up — it's been 4 days since last contact"

Click any suggestion to create a task, draft an email, or open the relevant tool.

### Sentiment history

Track how the contact's sentiment has changed across interactions. Each call and email is scored, and the trend is plotted over time — useful for spotting clients who are cooling off before they disengage.

## How it works

Insights are generated by Winnie using:

* Call transcripts and sentiment analysis
* Email and SMS engagement patterns
* Pipeline stage and deal activity
* Property search and viewing history
* Time-based behavioral patterns

Data updates in near-real-time as new interactions happen.

<Note>
  Insights require at least 2–3 interactions with a contact to generate meaningful analysis. Brand-new contacts will show limited data until more activity is logged.
</Note>