Title Why Innovation Teams have to be Measured Differently and How to do it - with Tristan KromerAbout the EpisodeTristan Kromer is talking to us about why innovation teams need to be measured differently from other product teams and how to do it. In other words, we are talking about how you can take practical steps to implement innovation accounting on a team level. Please let us know what measures you would add and why in the comments!Innovation Team Metrics Covered in this EpisodeExperimentation Velocity / % of teams that run experiments Insight Velocity / % of experiments that generate insights% of falsified hypothesis (validated/invalidated experiments ratio) Retrospectives / % of weeks teams have run retrospectives in the last month Qualitative data - team sprint demo (weekly, biweekly) Topics and Insights(01:40) The problem - why do we need to measure innovation teams differently(05:00) All teams should be measured against something they can control (06:00) For innovation teams, even product related lead indicators often can not be applied as the lead indicator might not yet be known(10:00) If Zombies were chasing Tristan, he might be able to run 5 blocks(11:00) Nobody knows what product teams will win, but we do know that teams which experiment and learn faster, have a much better chance to achieve Product Market Fit. Tom Eisenmann from Harvard University just released data to back up that claim(14:30) The solution - how to fairly and effectively measure innovation team (15:00) Separating the measurement of the product from the measurement of the team(15:40) Experimentation Velocity and Insight Velocity (19:00) Accounting for experiment and research cost (22:20) Elijah is having problems formulating a proper sentence and Yoga with Adriene comes up (23:30) The difference between an evaluative experiment and generative research(29:00) Should the evaluative experiment and generative research ratio be measured?(31:00) Product teams should never stop running interviews(31:30) Teams are likely to be more successful when they use a greater variety of experiments and call for more academic research into this topic!(33:15) We need better tools to record experiments and insights from innovation teams. (36:50) Tools for recording experiments (41:30) Going deeper into measuring Experimentation and Insight Velocity. (46:20) The amount of falsified hypotheses are another team performance indicator(52:00) Measure but don’t count(52:50) Teams also need to be measured against lead product/project...

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