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Performance Dashboard

Track historical bid metrics, analyze trends, and calibrate future go/no-go decisions with data-driven insights

Updated 2026-03-308 min read

The Performance Dashboard provides a comprehensive view of your organization's bid history, helping you identify patterns, measure decision quality, and continuously improve your go/no-go process.

Overview

The Performance Dashboard aggregates data from all recorded bid outcomes to provide actionable intelligence. By understanding your historical win rates, score calibration, and decision patterns, you can make more informed decisions on future opportunities.

Accessing the Dashboard

Key Metrics

The dashboard displays several key performance indicators at the top:

MetricDescriptionTarget
Win RatePercentage of bids submitted that resulted in winsIndustry avg: 25-40%
Bid RatePercentage of opportunities evaluated that you bid onVaries by strategy
Decision AccuracyHow often your go/no-go score predicted the correct outcome> 70%
Average ScoreMean go/no-go score across all evaluated opportunitiesBaseline reference
Avg Deal SizeAverage contract value of won bidsGrowth indicator
Time to DecisionAverage days from opportunity identification to go/no-go decision< 5 business days

Tip

Focus on Decision Accuracy as your primary calibration metric. If your scores consistently predict incorrect outcomes, it's time to adjust your scoring weights.

Win Rate Analysis

Overall Win Rate Trend

The win rate trend chart shows your monthly or quarterly win rate over time. Look for:

  • Upward trends: Your decision-making is improving
  • Downward trends: May indicate market changes or scoring drift
  • Seasonal patterns: Some sectors have cyclical procurement activity

Win Rate by Score Range

This chart shows win rates grouped by go/no-go score ranges:

Score RangeExpected Win RateAction
80-100 (Strong Go)> 50%Should be bidding on these
60-79 (Qualified Go)25-50%Selective bidding appropriate
40-59 (Qualified No-Go)10-25%Bid only with strategic justification
0-39 (Strong No-Go)< 10%Should not be bidding

Warning

If your "Strong Go" opportunities have a win rate below 40%, your scoring criteria may be too optimistic. Consider tightening capability matching thresholds.

Win Rate by Category

Break down win rates by:

  • Department/Agency: Which buyers do you win with most?
  • Contract Value: Are you more competitive at certain price points?
  • Service Type: Which capability areas drive the most wins?
  • Competition Level: How does the number of competitors affect outcomes?

Score Calibration

Calibration Chart

The calibration chart compares your predicted win probability (from scores) against actual outcomes. A well-calibrated system shows:

  • Opportunities scored at 70% should win approximately 70% of the time
  • The calibration line should follow the diagonal

Common Calibration Issues

Over-confident scoring (predicted > actual):

  • Scores are too high relative to actual outcomes
  • Solution: Increase weight on competitive factors, tighten capability thresholds

Under-confident scoring (predicted < actual):

  • Winning opportunities you scored low
  • Solution: Review capability matching — may be undervaluing your strengths

Flat calibration (no discrimination):

  • All opportunities score similarly regardless of outcome
  • Solution: Add more discriminating factors, increase scoring range

Decision Pattern Analysis

Go/No-Go Distribution

This chart shows the distribution of your decisions:

  • How many opportunities received each outcome type
  • The ratio of bids to no-bids
  • Trends in decision patterns over time

Note

A healthy pipeline typically shows 30-50% of evaluated opportunities receiving a "Go" decision. If you're bidding on everything, you may be spreading resources too thin. If you're bidding on less than 20%, you may be too conservative.

Decision Override Analysis

Track instances where the team overrode the scoring recommendation:

  • Score said Go, team said No-Go: Were these correct? If so, what factors did the score miss?
  • Score said No-Go, team said Go: Did these result in wins? What justified the override?

Override analysis helps identify factors that should be added to or weighted differently in your scoring model.

Monitor how quickly your team makes go/no-go decisions:

  • Faster decisions on clear-cut opportunities (Strong Go / Strong No-Go)
  • More deliberation on borderline cases (Qualified Go / Qualified No-Go)
  • Delays that may cause missed deadlines

Competitive Intelligence Insights

Win/Loss by Competitor

See which competitors you tend to win or lose against:

CompetitorHead-to-Head RecordYour Win RateNotes
Acme Corp5W - 3L62%Strong on technical, weak on price
Global Services2W - 6L25%Incumbent advantage
TechPro4W - 2L67%Your differentiator wins

Track your competitive position over time:

  • Market share by contract value
  • New market entries and exits
  • Pricing competitiveness trends

Reporting and Export

Standard Reports

The Performance Dashboard offers several pre-built reports:

  1. Quarterly Bid Review: Complete bid performance summary with trends
  2. Win/Loss Analysis: Detailed breakdown of outcomes with root causes
  3. Calibration Report: Scoring accuracy and recommended adjustments
  4. Pipeline Health: Current pipeline status and forecasted win potential
  5. Competitive Landscape: Market position and competitor analysis

Custom Reports

Scheduled Reports

Set up automatic report delivery:

  • Weekly Pipeline Update: Sent every Monday with current pipeline status
  • Monthly Performance Summary: End-of-month win rate and metrics
  • Quarterly Review Package: Comprehensive performance analysis

Best Practices

Tip

Review the Performance Dashboard at least monthly. Regular review ensures you catch calibration drift early and continuously improve your decision-making process.

  1. Establish baselines first: Track at least 20 opportunities before drawing conclusions
  2. Look for patterns, not individual outcomes: Single wins or losses are noisy signals
  3. Share insights with the team: Use the dashboard in bid review meetings
  4. Act on calibration data: Adjust scoring weights when the data supports it
  5. Track the impact of changes: Document when you adjust scores and monitor results

Common Workflows

Monthly Bid Review Meeting

  1. Open the Performance Dashboard with Last 30 Days selected
  2. Review the win rate trend — is it improving?
  3. Check the calibration chart — are scores predicting well?
  4. Examine recent wins and losses — any lessons learned?
  5. Identify action items for scoring adjustments

Annual Strategy Calibration

  1. Set date range to the full year
  2. Export the Calibration Report and Win/Loss Analysis
  3. Compare factor weights against actual outcome drivers
  4. Propose weight adjustments for the coming year
  5. Present to leadership with data-backed recommendations

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