Detection Rules 10 min read

Building Detection Rules That Actually Work

JP

Jay Prasad

CEO & Founder | Jan 22, 2026
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Detection rules are the core of Revenue Observability. They're the logic that decides: this deal has a blind spot, and here's what it is. But building good detection rules is harder than it sounds.

The most common mistake? Making rules too sensitive. If every deal triggers an alert, nobody pays attention to any of them. That's alert fatigue, and it kills adoption faster than anything.

The anatomy of a good detection rule

Every effective detection rule has four components:

  • A specific signal (not a vague condition). 'Champion hasn't replied in 5+ days' is specific. 'Deal engagement is low' is vague.
  • Cross-stack correlation. The signal must come from connecting two or more data sources. If a single tool can detect it, it's not a blind spot.
  • Business context. A champion going silent on a $50K deal in discovery is different from a champion going silent on a $500K deal in negotiation.
  • A clear action. The alert must tell the rep or manager exactly what to do. 'Check in with champion' isn't enough. 'Re-engage Lisa Park via her preferred channel (Slack) - last response was 8 days ago on email' is actionable.
  • See your pipeline's blind spots

    Customer City connects to your revenue stack and surfaces the silent failures killing your deals.

    Start with these 5 rules

    If you're just getting started with detection rules, begin with these five. They catch the highest-impact blind spots with the lowest false-positive rate:

  • Silent Champion: No reply from primary contact in 5+ days while deal is in Negotiation or later
  • Unopened Proposal: Contract/quote sent but not opened within 3 business days
  • Missing Decision-Maker: No VP+ contact on any call for deals over $100K in Proposal stage or later
  • Stuck Stage: Deal in same stage for 30+ days with activity but no progression
  • Single-Threaded: Only one contact engaged on deals over $50K
  • Tuning for your team

    Every team is different. Enterprise sales cycles are longer than mid-market. Some industries have naturally slower response times. The key is to start with the defaults, measure false positives for 2 weeks, then adjust thresholds. Customer City makes this easy with per-rule sensitivity controls.

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    About the Author

    JP

    Jay Prasad

    CEO & Founder

    Former RevOps leader who built Customer City after watching deals die in the gaps between disconnected tools. Believes revenue teams deserve the same observability engineering teams have had for years.

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