Houston AI

Action Queue · Feb 28–Mar 30, 2026 · ET

How this works

Action Queue prioritizes templates by exposure and negative impact.

  • Priority score combines exposure, reply rate, and negative rate.
  • Suggested variants are auto-generated.
Limits
Recommendations are rules-based
What to do next
Start with P1 items and log applied changes.

A prioritized list of fixes based on exposure and negative impact.

Metrics are computed per lead exposure (unique parent_id) to avoid chatty leads skewing results.

Use this to improve messaging and timing. Not for eligibility decisions.

Example metrics
Reply rate (of leads) 6%
Negative Reaction Rate (of leads) 6%
Negative Reaction Among Replies 100%
What it means
  • Only 6% of leads replied.
  • Every reply was a negative reaction.
  • The message does not invite cooperation — it provokes objections.
  • This is a candidate for rewriting or repositioning, not more follow-ups.

Action Queue

Prioritized fixes based on exposure and negative reactions. Negative reactions are a subset of replies—so a template can have a low negative rate even if many replies are logistics/clarification.

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