Get the Most Out of AI Call Insights
10 Best Practices for Getting the Most Out of AI Call Insights
Phone calls are often the first interaction a customer has with your shop. AI Call Insights helps you understand how those conversations are handled, identify coaching opportunities, and improve appointment conversion rates.
To get the most value from AI Call Insights, follow these best practices.

1. Review Trends, Not Just Individual Calls
Avoid overreacting to a single low-scoring call. Instead, use scores to identify recurring patterns over time.
Review weekly and monthly trends to understand how your team is performing and where consistent improvements can be made.
2. Prioritize Missed Revenue Opportunities
Not all scoring categories have the same impact on your business.
Pay close attention to calls with lower scores in areas such as:
- Needs Discovery
- Solution Presentation
- Clear Next Steps
Weak performance in these categories can often indicate missed appointments, lost jobs, or opportunities that were not fully explored.
3. Coach with Real Call Examples
The most effective coaching happens with real customer interactions.
Use AI Call Insights during team meetings or one-on-one coaching sessions to review actual calls. Specific examples help advisors understand what worked, what could have been improved, and how to handle similar situations in the future.
4. Spot-Check Top and Low Performers
Do not focus only on calls that scored poorly.
Review calls from both high-performing and low-performing advisors. Lower scores can reveal coaching opportunities, while top-performing calls often uncover best practices that can be shared across the entire team.
5. Create Clear Phone Standards
Define what a great customer call sounds like in your shop.
For example:
- A professional greeting
- Effective discovery questions
- Clear service recommendations
- Confident next steps
- Strong appointment booking techniques
Once standards are established, use AI Call Insights to measure consistency and identify areas for improvement.
6. Focus on Booking Rate Improvement
The goal is not simply to achieve higher scores.
Track whether improved call performance leads to more appointments booked and more revenue generated. The most valuable insights are the ones that drive measurable business results.
7. Use Weekly Score Reviews
Set aside 15 to 30 minutes each week to review call summaries, scoring trends, and coaching opportunities.
Small improvements made consistently can have a significant impact on customer experience and conversion rates over time.
8. Don't Use It as a Punishment Tool
AI Call Insights should be used to develop employees, not penalize them.
Position the platform as a coaching and growth tool that helps advisors improve their communication skills and create better customer experiences.
When employees view the system as supportive rather than punitive, adoption and engagement tend to increase.
9. Review Audio Quality Regularly
AI scoring is only as good as the information it receives.
Poor recordings, background noise, and unclear audio can impact transcript quality and scoring accuracy. Periodically review call recordings to ensure audio quality remains strong.
10. Recognize Wins Publicly
Celebrate improvements, strong customer interactions, and successful appointment bookings.
Recognizing positive performance helps reinforce desired behaviors, increases team buy-in, and encourages continuous improvement.
Turn Insights Into Action
AI Call Insights provides valuable visibility into the conversations happening at your shop every day. By reviewing trends, coaching consistently, and focusing on revenue-driving behaviors, you can turn call data into meaningful business results.
The shops that see the greatest success are not the ones chasing perfect scores. They are the ones using insights to build stronger teams, create better customer experiences, and book more appointments.









