Session Management Best Practices

Your Sessions are the pulse of your AI’s performance — they show exactly how users engage, where conversations succeed, and where they fall short.

Managing sessions effectively helps you turn chat data into structured insight.
These best practices ensure your reviews, debugging, and iteration cycles are efficient, consistent, and meaningful.

1. Review Regularly

Set a review cadence — at least once a week — to catch recurring issues before they scale.

Each review cycle should focus on:

Missed or incomplete goals

Repeated or confusing responses

Negative sentiment sessions

Top-performing interactions for tone or conversion

💡 Tip: Schedule session reviews after every major update to your Brain or Journey.

2. Tag & Favorite Sessions

Use tags to organize sessions by purpose or finding type:

“Goal Missed”

“Good Example”

“Needs Brain Update”

“Bug – Debugged”

Mark excellent conversations as Favorites for internal training or future Agent calibration.

3. Use Filters Strategically

Filters aren’t just for finding — they’re for learning.
Combine filters to isolate performance trends:

“Goal Conversion” + “Last 7 Days” → success tracking

“Missing Knowledge” + “Negative Sentiment” → learning opportunities

“Principles Fixed” → compliance and moderation insight

4. Debug Intentionally

Don’t debug everything — focus on the moments that matter.
Use the 🤖 robot icon to troubleshoot specific messages:

Check which Brain or Journey triggered the response

Validate the context before and after the AI’s message

Look for conditions that didn’t match (or matched too loosely)

Then recreate the session to confirm your fix.

5. Connect Session Learnings to Brain

Every “Missing Knowledge” flag is an opportunity to grow your Agent’s intelligence.

Add missing answers to your Knowledge Collections

Rephrase ambiguous entries for clarity

Update outdated data (e.g., prices, contact details)

Regularly feeding these insights into your Brain keeps responses current and trustworthy.

6. Track Improvement Over Time

Compare results across Agent Versions to measure impact after changes.
Monitor:

Goal achievement rate

Average session length

Sentiment trends

Conversion-to-lead ratio

These metrics reveal whether your edits are truly improving engagement — or just moving problems around.

7. Collaborate Across Teams

Session insights are valuable beyond AI optimization.

Sales teams can review real buyer objections.

Marketing teams can learn user language for better messaging.

Product teams can find usability pain points from chat logs.

Share key sessions using Copy Link or export summaries for discussion.

8. Maintain a Debugging Log

Keep a simple log of what was fixed, when, and why.
Example:

Date

Issue

Fix Applied

Verified By

Oct 20

Missing Knowledge on “Pricing”

Added “Pricing FAQ” collection

✅ Tested via Recreate Session

It keeps optimization transparent and measurable.

Why It Matters

Consistent session management transforms your Agent from “reactive chatbot” to strategically improving sales AI.
You’ll:

  • Reduce repeated errors
  • Strengthen goal completion
  • Build long-term reliability and user trust
  • Good session hygiene = smarter, more human conversations.

Filtering

Sessions Reviewing

Debugging

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