Pipeline Diagnostics

by majesticlabs-dev

skill

Pipeline health assessment with coverage ratios, conversion benchmarks, velocity analysis, and problem diagnosis frameworks.

Skill Details

Repository Files

1 file in this skill directory


name: pipeline-diagnostics description: Pipeline health assessment with coverage ratios, conversion benchmarks, velocity analysis, and problem diagnosis frameworks. allowed-tools: []

Pipeline Diagnostics

Framework for assessing B2B sales pipeline health and identifying problems.

Pipeline Coverage

Minimum Coverage by Quarter Week:

Week Coverage Needed Why
Week 1 4x quota Time to work deals
Week 5 3x quota Deals maturing
Week 9 2x quota Late-stage heavy
Week 13 1.2x quota Commit deals

Formula:

Coverage Ratio = Total Pipeline / Quota Target

Stage Conversion Benchmarks

Stage Benchmark If Below
Lead → Qualified 30-40% ICP targeting issue
Qualified → Discovery 60-70% Qualification criteria issue
Discovery → Demo 50-60% Discovery quality issue
Demo → Proposal 40-50% Demo effectiveness issue
Proposal → Closed 30-40% Negotiation/pricing issue

Deal Velocity

Formula:

Sales Velocity = (Deals × Win Rate × ACV) / Sales Cycle

Higher velocity = more revenue, faster

Improvement Levers:

  1. More qualified opportunities (volume)
  2. Higher win rate (quality)
  3. Larger deal sizes (ACV)
  4. Shorter sales cycles (speed)

Stage Distribution Analysis

Healthy Pipeline Shape:

Stage 1 (Qualified):    ████████████████████ 35%
Stage 2 (Discovery):    ████████████████ 25%
Stage 3 (Demo):         ████████████ 20%
Stage 4 (Proposal):     ████████ 12%
Stage 5 (Negotiation):  █████ 8%

Red Flags:
- Top-heavy: Too much early stage
- Bottom-heavy: Not enough new pipeline
- Middle stuck: Conversion problem

Age Analysis

Stage Healthy Age Stale Threshold
Qualified 0-14 days >21 days
Discovery 7-21 days >30 days
Demo 14-30 days >45 days
Proposal 7-14 days >21 days
Negotiation 7-21 days >30 days

Stale Deal Actions:

  • <7 days stale: Update and next steps
  • 7-14 days stale: Manager review
  • 14 days stale: Downgrade or close

Win/Loss Analysis

Win Analysis Questions:

  • What was the trigger event?
  • Who was the champion?
  • What was the competitive situation?
  • What value resonated most?
  • How long was the sales cycle?

Loss Analysis Questions:

  • What stage did we lose?
  • Who made the decision?
  • What was the stated reason?
  • What was the real reason?
  • What would we do differently?

Problem Diagnosis

Not Enough Pipeline

Symptoms:

  • Coverage <3x in first half of quarter
  • New pipeline creation slowing
  • Deals closing without replacement

Solutions:

  • Increase outbound activity 50%
  • Run targeted campaign to ICP
  • Re-engage closed-lost from 6+ months ago
  • Ask for referrals from recent wins
  • Partner-sourced pipeline push

Deals Stuck in Stage

Symptoms:

  • Average age exceeds benchmark
  • Same deals appearing in reviews
  • No clear next steps

Solutions:

  • Implement stage exit criteria
  • Add "days in stage" to dashboards
  • Manager review for stale deals
  • Create urgency with limited-time offer
  • Multi-thread to other stakeholders

Low Win Rate

Symptoms:

  • Win rate <20%
  • Losing to "no decision"
  • Losing to specific competitor

Solutions:

  • Tighten qualification criteria
  • Improve discovery process
  • Build champion enablement
  • Create competitive battle cards
  • Address pricing/packaging

Inaccurate Forecasts

Symptoms:

  • Consistent over/under forecasting
  • Deals slipping between periods
  • Late-quarter surprises

Solutions:

  • Define clear commit criteria
  • Weekly deal-by-deal review
  • Track forecast accuracy by rep
  • Implement deal scoring
  • Require close plan for commits

Related Skills

Attack Tree Construction

Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.

skill

Grafana Dashboards

Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.

skill

Matplotlib

Foundational plotting library. Create line plots, scatter, bar, histograms, heatmaps, 3D, subplots, export PNG/PDF/SVG, for scientific visualization and publication figures.

skill

Scientific Visualization

Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.

skill

Seaborn

Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.

skill

Shap

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model

skill

Pydeseq2

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

skill

Query Writing

For writing and executing SQL queries - from simple single-table queries to complex multi-table JOINs and aggregations

skill

Pydeseq2

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

skill

Scientific Visualization

Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.

skill

Skill Information

Category:Skill
Allowed Tools:[]
Last Updated:1/18/2026