I fumbled this a bit because I went straight to solutions before actually diagnosing anything.
Start by acknowledging that innovation stalls are usually systemic, not individual. Then walk through a structured diagnostic: gather data, identify root causes, and propose targeted interventions. Emphasize that you'd involve the team in both diagnosis and solution design to build ownership.
Pro tip: Frame innovation as a process, not a lightning strike. Show you understand that psychological safety and slack time are prerequisites—without them, any fix will fail.
Collect both quantitative and qualitative data: velocity trends, idea pipeline, retrospective themes, and one-on-one feedback. Look for patterns like declining experiment count or increased risk aversion.
Map symptoms to potential causes using a framework like the 'Five Whys' or a fishbone diagram. Common culprits: unclear goals, fear of failure, lack of time, or misaligned incentives.
Identify which root causes are most impactful and actionable. For example, if psychological safety is low, start with blameless post-mortems; if time is scarce, negotiate dedicated innovation sprints.
Work with the team to design solutions that address the prioritized causes. Ensure interventions are small, testable, and measurable—e.g., a weekly '20% time' trial or an idea incubator.
Define success metrics (e.g., number of experiments, cycle time) and review progress regularly. Be prepared to adjust based on feedback and celebrate small wins to build momentum.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.