📊 Innovation Metrics Dashboard

Track and measure your innovation performance across key dimensions

📊 Input Metrics

Resources invested in innovation activities

Innovation Budget

Total budget allocated to innovation projects

⭕ No Data
Current: -
Target: $500,000
💡 Industry avg: 8-15% of revenue

R&D Headcount

Number of people dedicated to innovation

⭕ No Data
Current: -
Target: 25 people
💡 Target: 15-25% of total workforce

Innovation Time Allocation

Percentage of work time on innovation

⭕ No Data
Current: -
Target: 20%
💡 Google's 20% time model

Innovation Training Hours

Hours spent on innovation skill development

⭕ No Data
Current: -
Target: 40 hours
💡 Target: 40+ hours per person annually

📐 Innovation Measurement Framework

🎯 Leading Indicators

  • • Innovation budget allocation
  • • Ideas generated per period
  • • Experiments launched
  • • Training hours completed
  • • Workshop participation rates

📊 Process Indicators

  • • Time to market cycles
  • • Prototype completion rates
  • • Project success ratios
  • • Resource utilization
  • • Collaboration metrics

🚀 Lagging Indicators

  • • Revenue from new products
  • • Market share gains
  • • Customer satisfaction scores
  • • Return on innovation investment
  • • Competitive advantage metrics

💡 Measurement Best Practices

✅ Do's

  • • Balance leading and lagging indicators
  • • Set realistic but challenging targets
  • • Review metrics regularly (monthly/quarterly)
  • • Use metrics to drive behavior, not punish
  • • Include qualitative feedback alongside quantitative
  • • Adjust metrics as innovation maturity evolves

❌ Don'ts

  • • Don't measure everything - focus on what matters
  • • Don't use only financial metrics for innovation
  • • Don't punish intelligent failures
  • • Don't change metrics too frequently
  • • Don't ignore the innovation pipeline health
  • • Don't forget to celebrate successes
What gets measured gets managed. But in innovation, you must measure the right things. Focus on learning velocity and customer discovery speed, not just financial returns. Innovation metrics should encourage experimentation and intelligent risk-taking.

— Clayton Christensen, Innovation Theory Expert

I recommend the trio of discovery metrics: customer interviews per week, experiments per sprint, and customer outcomes achieved. These leading indicators predict innovation success better than traditional lagging metrics like revenue or features shipped.

— Teresa Torres, Product Discovery Coach