Innovation Capability Maturity Self-Assessment

An interactive, saveable self-assessment that maps current innovation capability across five dimensions, captures target levels and contextual notes, helps teams prioritize pragmatic next steps, and supports tracking experiments and ownership.

Interactive Tool

Innovation Capability Maturity Self-Assessment

Use this interactive assessment to map your team's current innovation capability across five practical dimensions: Strategy & leadership, Skills & roles, Processes & metrics, Data & tooling, and Governance & funding. For each dimension, select the level that best matches your current state, capture your desired target, and add notes about context and constraints. The form saves your responses so you can track progress, prioritize where to run experiments, and convert findings into focused improvement steps.

This assessment is intentionally pragmatic and human-centered: it avoids single aggregated scores and encourages context-sensitive priorities and small, measurable experiments. After you save, review the Prioritized Next Steps and the Experiment Template fields, pick one concrete experiment you can complete within your available capacity, and assign an owner and a clear success metric.

This assessment is suitable to copy and tailor for teams, sites, or business units. When you adapt it, keep evidence notes and dates so you can compare assessments over time.

Who completed this assessment? Use a name, team, or role to track ownership.
Use YYYY-MM-DD or a readable date. Update when you re-run the assessment.
Which team, department, or site does this assessment describe?
Optional: keywords to help filter or find this assessment later (e.g., 'pilot, healthcare, Q3').
Level examples: 1 = No coherent innovation strategy; activity is ad-hoc. 2 = Emerging strategy, some leadership sponsorship but limited alignment. 3 = Clear strategy tied to goals, leadership support, and some dedicated initiatives. 4 = Strategy is integrated into planning, resourcing, and measures; leadership routinely sponsors experiments and scales results. Choose the level that best fits today.
1.0 10.0
Pick a realistic near-term target. Targets help prioritize which dimensions to act on first.
Record concrete observations (e.g., recent strategy doc, executive sponsor, barriers, or a missing KPI).
Level examples: 1 = No defined innovation roles or skills; relies on individual initiative. 2 = Some roles and training exist but are inconsistent. 3 = Defined roles, regular training, and resourcing for experiments. 4 = Cross-functional capability with career paths, mentoring, and systemic skill development.
1.0 10.0
Choose a practical target considering hiring, training, or role design needs.
Name skill gaps, staffing constraints, or promising internal experts.
Level examples: 1 = No repeatable innovation processes, outcomes not measured. 2 = Some processes (e.g., ideation) exist but are inconsistent and poorly measured. 3 = Standardized processes and metrics for experiments and learning. 4 = Processes embed fast feedback, portfolio management, and reliable measures of impact.
1.0 10.0
A realistic process target helps you choose experiments that test key assumptions quickly.
List current processes, what you measure today, and what matters to stakeholders.
Level examples: 1 = Little usable data or tooling to test ideas. 2 = Some data and tools available but fragmented. 3 = Integrated data and tooling supporting experiments and learning. 4 = Robust data practices, tooling, and analytics that accelerate insight and decision-making.
1.0 10.0
Balance ambitions with realistic data access and tooling investments.
Describe available data sources, tooling gaps, and quick wins (e.g., a dashboard or a small experiment).
Level examples: 1 = No governance or funding for innovation; experiments rely on informal pockets of effort. 2 = Ad-hoc funding or pilot grants; governance unclear. 3 = Clear governance, funding channels, and decision gates for scaling. 4 = Sustainable funding models, governance aligned to strategy, and mechanisms to transfer learnings into operations.
1.0 10.0
Pick a target that your leadership and finance teams can realistically support.
Record decision owners, funding sources, or barriers to be addressed.
Higher confidence suggests the assessment is evidence-based. Lower confidence flags a need for data collection or broader input.
1.0 10.0
Be honest about capacity. Overambitious plans are a common failure mode.
Pick the one area where progress would unlock the most value.
For each dimension, compute gap = (target level) - (current level). Enter 0 if target equals current. Use gaps to help prioritize — larger gaps may indicate opportunity, but weigh against capacity and confidence.
Enter the numeric gap you calculated (0–3).
Enter the numeric gap you calculated (0–3).
Enter the numeric gap you calculated (0–3).
Enter the numeric gap you calculated (0–3).
Enter the numeric gap you calculated (0–3).
Briefly explain why you chose the priority dimension above (consider gaps, capacity, stakeholder impact, and risk). This helps teams align and prevents scattered investments.
Example: 'Run a 4-week customer discovery sprint (Owner: X, Result: validated pain points, Timeline: 4 weeks)'. Keep actions small and measurable.
A realistic range helps prioritize incremental experiments over large programs.
Select practical support you need to turn these steps into action.
Fill one experiment below with a clear owner, short duration, and a measurable success metric. Keep experiments small and low-risk so you can learn quickly.
A short, actionable title (e.g., '4-week customer interview sprint').
Person or role responsible for running the experiment.
How long the experiment will run. Keep short where possible.
What specific measurable outcome will indicate the experiment succeeded? Be concrete (e.g., '50 valid customer interviews and 3 validated pain statements').
You can explore this tool now. Sign in or create an account to save your responses and return to them later.
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