The Seed Stage - formerly "the June Podcast"
Data Magic | Crystal Widjaja (Gojek, Reforge, Generation Girl)
Dec 8, 2023
Join Crystal Widjaja, a seasoned product manager and analytics expert, as she shares insights on data-driven decision-making, industry benchmarks, balancing qualitative and quantitative data, avoiding analytics pitfalls in startups, and the symbiotic relationship between data analytics and effective product management.
53:51
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Quick takeaways
- Data-driven decision-making should strike a balance between quantitative and qualitative data.
- The use of industry benchmarks should be contextualized and considered relative to the company's own data and goals.
Deep dives
Data-driven Companies and the Constant Exercise of Data
Being data-driven is a continuous effort for companies, as data should be constantly analyzed and instrumentalized. Many companies may try too hard to be data-driven and place a heavy burden on their engineers to track everything. Data is useful in informing decision-making, but it should not solely rely on quantitative data. Qualitative data, such as customer feedback and intuition, should also be considered. The severity and impact of a decision should determine the amount of data to be collected and analyzed. A balance should be struck between data collection and the time and effort invested in analyzing it.
