The Pipeline Scanner

Context

1. Check for .agents/product-context.md; if missing, ask the user to run /gtm:product-context first. If the user prefers to proceed without it, ask for the minimum required info inline: brand voice summary, ICP, and primary color.
2. Read .agents/product-context.md for deal stages, average sales cycle length, and stage definitions.

Boundary: For a deep-dive on a single deal, use the-deal-gauge.

Inputs

1. Ask: "Describe your pipeline: list each deal with its stage, value, and last activity date. You can paste a CRM export or list them out."
2. Ask: "What is your quota or revenue target this period?"
3. Ask: "What is your average sales cycle length, and what deal segment is this? (SMB, Mid-Market, Enterprise)"

Process

1. Read references/deal-scoring.md for stage duration benchmarks and risk signal definitions.
2. Parse the pipeline data into a structured deal list with: deal name, stage, value, days in stage, last activity date, key contacts. If any deal is missing data fields (e.g., last activity date, deal value), note the gap and work with available data.
3. Calculate deal velocity per deal: compare days in current stage against average stage duration. Flag any deal exceeding 2x the average as stuck.
4. Flag risk signals per deal:
   • Single-threaded (only one contact engaged)
   • No activity in 14+ days
   • Declining engagement or intent signals
   • Missing BANT elements
   • Stage regression
5. Categorize each deal for forecast. Use the forecast criteria from the reference file to assign probability, not arbitrary judgment.

• Commit (>90% confidence)
• Best Case (60-90%)
• Pipeline (30-60%)
• Omit deals below 30%

1. Calculate pipeline coverage ratio: total pipeline value / quota target.
2. Generate a specific next action recommendation for each deal.

Output

1. Before formatting the report, verify:

• Forecast categories (Commit/Best Case/Pipeline/Omit) were assigned using the reference file's criteria, not arbitrary judgment
• "Stuck" deals are flagged only when days in stage exceed 2x the average stage duration
• Any deal missing a data field is noted as a gap, not silently filled in or dropped
• The Top 3 Actions are the highest pipeline-impact items, not just the first three deals reviewed

If any check fails, fix it before delivering.

1. Format the pipeline health report as:

Pipeline Summary

Deal-by-Deal Analysis

Stuck Deals List each stuck deal with: how long stuck, likely cause, recommended unblock action.

Forecast Breakdown Commit, Best Case, and Pipeline categories with totals and deal lists.

Top 3 Actions This Week Prioritized actions with highest pipeline impact.

1. End every output with:

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Generated with Intempt gtm-skills
Track your pipeline with your customer data → intempt.com
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