The scoreboard, honestly: the hard targets, how often each one is actually looked at,
and the quiet human signals that never make it onto a dashboard.
Number of MVPs Launched & Validated
The count of Minimum Viable Products (MVPs) or significant pilot programmes that you've successfully launched and gathered meaningful customer/market validation for within a given period.
Target · 2-4 MVPs per year, with clear 'pivot or persevere' decisions made for each.In Q2, you launched two MVPs: a new subscription service for existing customers and an AI-powered customer support tool. Both gathered enough data to inform a clear decision on next steps (one to scale, one to pivot).
Learning Velocity
The average time it takes from defining a key hypothesis for an innovation project to getting validated learning (either positive or negative) from the market or internal testing. This isn't about being 'fast' for speed's sake, but about reducing the time to insight.
Target · Reduce average learning cycle time by 15% year-on-year, aiming for under 6 weeks per major hypothesis.Your team typically takes 8 weeks to validate a core value proposition. You've implemented a new rapid prototyping method that's brought this down to 6.5 weeks, saving us time and money on dead ends.
Portfolio Investment Balance
How well your portfolio of projects aligns with our strategic 'Three Horizons' model – balancing investment across core improvements (H1), adjacent opportunities (H2), and disruptive new ventures (H3).
Target · Maintain a target investment split, e.g., 60% H1, 30% H2, 10% H3 across your managed portfolio.Your current portfolio shows £300K in H1 projects, £150K in H2, and £50K in H3, hitting the 60/30/10 target and showing a healthy spread of risk and reward.
Resource Utilisation & Budget Adherence
How effectively you manage the budget allocated to your innovation projects and the resources (people, tools) assigned to your team, ensuring projects are delivered within financial and time constraints.
Target · Maintain project budgets within ±10% variance and deliver 85% of key milestones on schedule.Your Q3 innovation projects came in at 98% of budget, and 4 out of 5 key milestones were hit on time, demonstrating strong financial and project management.
Stakeholder Buy-in & Advocacy
The degree to which key business unit leaders and functional heads actively support your innovation projects, provide resources, and champion the outcomes within their own teams.
- Business unit leaders proactively offer resources for pilots
- they publicly champion your projects in leadership meetings
- they consult you on their own strategic planning
- you're invited to early-stage strategic discussions, not just informed afterwards.
Quality of Experimentation Design
How well your team designs experiments to truly test critical assumptions, generate clear, unbiased data, and lead to actionable 'pivot or persevere' decisions, rather than just running activities for the sake of it.
- Experiment designs clearly articulate hypotheses, success metrics, and invalidation criteria before launch
- post-mortems consistently yield clear, actionable insights
- your team can articulate what they learned, not just what they did
- you're able to confidently kill projects based on early data.
Team Development & Mentorship
Your effectiveness in guiding, developing, and empowering your direct reports, helping them grow their innovation capabilities and navigate the complexities of corporate innovation.
- Your direct reports consistently hit their development goals
- they're taking on more complex challenges
- you're regularly providing constructive feedback and coaching
- your team members feel supported and challenged
- you're seen as a trusted advisor by your team.
Organisational Learning & Knowledge Sharing
How well your team captures and disseminates learnings from innovation projects (both successes and failures) across the broader organisation, helping to build our collective innovation muscle.
- Regular 'lunch and learn' sessions are well-attended
- key learnings (especially from failures) are documented and easily accessible in our knowledge base
- other teams proactively seek out your team's insights before starting their own initiatives
- you're seen as a go-to person for 'how to run an experiment'.