← Back to Academy Step 7

Test, Review & Iterate

AI Chatbot Training Academy · 6 min read

The best chatbots aren't built in a day — they're continuously improved based on real conversations. Regular review and iteration is what separates a good bot from a great one.

The Launch-and-Learn Approach

Don't try to make your chatbot perfect before launch. Instead:

  1. Set up the basics — brand voice, instructions, product feed, greeting
  2. Launch with real customers — start collecting actual conversation data
  3. Review weekly — read through conversations and identify issues
  4. Improve iteratively — update instructions, fix gaps, refine tone

This cycle gets you to a high-performing chatbot much faster than trying to anticipate every scenario in advance.

What to Look for in Conversation Logs

Lobot gives you full access to all customer conversations. When reviewing, pay attention to:

  • Unanswered questions — Topics where the bot said "I don't know" or gave a vague response. These need new instructions.
  • Off-brand responses — Answers that don't match your tone or voice. Refine your persona settings.
  • Incorrect recommendations — Products that don't match what the customer asked for. Check your product data quality.
  • Dead-end conversations — Chats where the customer stopped responding. What went wrong?
  • Successful conversions — Chats that led to product clicks or purchases. What did the bot do right?

Using Lobot's Analytics

Your admin panel provides several tools for monitoring performance:

  • Conversation overview — See all chats, search by content, filter by date
  • Question tags (Q1, Q2, Q3) — Track which suggested questions customers click most
  • AI cost tracking — Monitor token usage and costs in real-time, broken down by operation type
  • Export to CSV/Markdown/PDF — Share conversation data with your team for collaborative review

Common Issues and How to Fix Them

Bot recommends irrelevant products

Fix: Improve product descriptions in your feed. Add more specific attributes. Check that categories are properly assigned.

Bot sounds too formal / too casual

Fix: Adjust the persona and custom instructions. Be more explicit about tone — include example phrases.

Customers ask about policies the bot doesn't know

Fix: Add shipping, returns, and warranty information to your custom instructions.

Bot shares information it shouldn't

Fix: Add explicit boundaries in custom instructions about what not to share.

How Often Should You Review?

  • First week — Review daily. The first conversations reveal the most obvious gaps.
  • First month — Review 2–3 times per week. Focus on patterns, not individual chats.
  • Ongoing — Review weekly or biweekly. By now, most issues should be resolved and you're fine-tuning.

Key Takeaways

  • Launch early, then improve based on real data — don't aim for perfection upfront
  • Review conversation logs regularly to find gaps and opportunities
  • Use analytics to track what's working and what isn't
  • Update your instructions and product data as you learn from real conversations
  • The best chatbots get better every week

Ready to start improving with real data?

Try Lobot for free