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Documentation Index

Fetch the complete documentation index at: https://closedloop.sh/docs/llms.txt

Use this file to discover all available pages before exploring further.

Opportunities are what ClosedLoop AI finds that you didn’t know to look for. They are groups of related insights that represent a single product problem — automatically discovered, not manually defined. Where insights are individual data points, opportunities are the patterns that emerge across thousands of conversations, scored by the revenue they affect.

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How opportunities are created

ClosedLoop AI automatically discovers and groups related insights into opportunities using semantic similarity. The system runs daily, finding new themes and updating existing ones as new data arrives — with zero configuration. Large opportunities may contain features — more specific breakdowns within the broader theme.

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RICE scoring (without the E)

If you’ve used RICE prioritization (Reach, Impact, Confidence, Effort), ClosedLoop AI computes the first three automatically — the parts that come from customer evidence. Effort is intentionally excluded because only your engineering team knows what things cost to build.
DimensionWhat it measures
ReachHow many customers are affected — computed from unique customer count across linked evidence
ImpactHow severe the problem is — derived from severity distribution, frustration scores, and deal blocker flags
ConfidenceHow consistent the evidence is — based on signal diversity across sources, time periods, and customer segments
RIC score = Reach x Impact x Confidence. An opportunity scoring 0.93 affects many customers, causes significant pain, and the evidence is consistent across multiple conversations. Every score is explainable — drill into any opportunity to see the exact quotes and deal values behind it. You bring the Effort estimate. ClosedLoop AI brings the evidence for everything else.

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Velocity

Each opportunity has a growth trend showing whether the problem is getting better or worse:
StatusWhat it means
AcceleratingMore customers are raising this — the problem is growing
ActiveSteady stream of evidence — ongoing issue
CoolingFewer mentions recently — may be resolving
DormantNo recent evidence — likely resolved or deprioritized
Filter by velocity to find what’s getting worse right now — the problems that need attention before they become deal blockers.

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Revenue impact

Each opportunity shows the business context:
  • Customer list — every affected customer with their deal value, so you can see the revenue at stake
  • Total won deal value — aggregate revenue across all affected customers
  • Deal blockers — how many insights are actively blocking sales
  • Evidence — top 50 verbatim quotes ranked by business impact, with customer names and severity
This is what turns “customers are complaining about X” into “X affects $1.2M in revenue across 35 customers, with 3 active deal blockers and accelerating velocity.”