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• What are some of the mistakes that startups can make and that you’re mostly advising on (e.g. people management, lack of focus on cashflow, lack of customer validation etc)
• Best tips for productivity for meetings (in person and remotely)
• How can we measure employee happiness?
• How is decision making distributed across your organization? When and why for a particular decision involves data and evidence, how is that communicated?
• Data Driven Approach: what does it mean, how to incorporate it into your business, does it always work or do you have to consider a different approach in some businesses/ industries?
• Words like data, business intelligence, data science, analytics, insights, experimentation, and learning are thrown around often. Can you describe your personal mental model?
• Can you tell us more about how you actually *gather, clean, and analyze data?
• Please share with us an example of a good and a bad *experiment* you run in your career.