Ongoing Grader Optimization

Once you’ve built your grader, the name of the game is continuous improvement. The following ideas are the best of the best ways to improve, pulled from hundreds of in-depth conversations with high-performers using PipeAI to win more better deals faster.  

The overarching theme of optimizing your grader and your performance is this: keep repeating the cycle of refining, testing, and learning what works and what doesn’t. The more records (e.g., leads and opportunities) you grade, the better you get. 

Grader Optimization Tips

→  Grade Result vs. Gut-Feel Misalignment

If the overall grade for some records seems off—either too low or too high:

  • Review Questions: Ensure you're capturing all relevant information.
  • Adjust Responses: Make sure each response impacts the overall grade appropriately.

→  Incorrect Action

If you disagree with the recommended next best action:

  • Review Action Details: Check if you need to update the minimum grade or adjust your Action Rules.
  • Fine-Tune: Add, remove, or change Actions to align Action recommendations with your expectations and requirements.

→  Team Discussions

Regular Discussions: Schedule meetings to discuss grading criteria, share results, and gather input.

  • Compare Results: Identify top performers and underperformers to develop improvement strategies.
  • Check-Ins with Other Teams: Engage with marketing, customer success, and leadership to find grader improvement opportunities.

→  Positive Surprises

Stay open to unexpected insights from you and your teammates’ selling efforts:

  • New Questions: Identify what information should be captured by adding new grader questions to see if they provide meaningful quality signals.
  • Update Responses: Adjust responses to better assess quality for future grader runs.

→  Balancing Your Grade Distribution

Grade Analysis: If the average grade across all grader runs seems to be too low or too high:

  • Adjust Response Grades: Consider adjusting response grades to bring overall grade averages closer to a balanced “C” range.
  • Reevaluate Impact Multipliers: If using Impact Multipliers, double-check all of them to ensure you’re not over- or under-weighting any responses. 

→  AI Suggestions

Leverage AI insights:

  • Pattern Matching: Ask PipeAI’s AI which questions and responses lead to wins, losses, or stalled deals.
  • Implement AI Suggestions: Implement updates suggested by PipeAI’s AI when they align with your observations and instincts.