💡

InsightHunt

Hunt the Insights

C

Crystal Widjaja

Episode #66

Chief Product Officer at Kumu / Former SVP of Growth at Gojek

Kumu / Gojek (GoTo)

📈Growth & Metrics🎯Product Strategy⚡Execution

📝Full Transcript

11,155 words
Crystal Widjaja (00:00:00): I felt like it was a problem that was very solvable. And we ended up renting a stadium to just hire 60,000 drivers in a couple of weeks. So I think looking back, it was certainly a risk. When I got there it was in a house and I realized I've probably made a huge mistake, but we were growing very quickly already, even at that small scale of 4,000 orders per day. Lenny (00:00:29): Crystal Widjaja has been leading product and growth teams at some of the largest consumer businesses in Southeast Asia, including Kumu, where she's currently the chief product officer, and Gojek where she built and led the growth team through the early years of what is now the largest super app in Southeast Asia. To put this in context, Gojek completes more rights per day than Lyft and more food deliveries than GrubHub, Uber Eats and DoorDash combined, and it's the number one mobile wallet in Indonesia and Southeast Asia. In my opinion, American startups have a lot to learn from startups in Asia and Crystal has been at the ground floor of some of the biggest successes there. (00:01:06): In our conversation, we covered the biggest growth unlocks that Crystal has seen across the companies she's worked at, what growth investments usually pay off and which often don't, we dig into growth models, a bunch of tips for accelerating growth, why most analytics efforts fail in how to avoid that, how to hire and structure your growth team, and we also talk about the nonprofit that Crystal started that aims to help young women get into STEM called Generation Girl. Crystal is such a star, and I hope that you enjoy this episode as much as I did. And with that, I bring you Crystal Widjaja. If you're setting up your analytics stack, but you're not using Amplitude, what are you doing? Amplitude is the number one most popular analytic solution in the world used by both big companies like Shopify, Instacart, and Atlassian, and also most tech startups. (00:01:59): Amplitude has eve...

💡 Key Takeaways

  • 1Run experiments even with small sample sizes (N=30); the precision changes, but the directional trend rarely does.
  • 2For free consumer products, aim for 60% Week 1 retention that flattens immediately; if early adopters drop off, mass market users definitely will.
  • 3Stop treating 'retention' as a goal; it is a result. Focus on the 'setup moment'—the step immediately preceding the conversion event.
  • 4Most analytics fail because they track observations (events), not context. You must track the state of the world (properties) at the time of the event to derive insight.
  • 5Utilize 'Physics vs. Levers' thinking: Understand the immutable constraints of your market (Physics) before trying to optimize your growth loops (Levers).
  • 6When hiring growth roles, prioritize statistical intuition and 'first principles' thinking over tool proficiency.
  • 7Use 'Wizard of Oz' testing (e.g., manual WhatsApp groups, static screenshots) to validate complex features like subscriptions before engineering builds them.

📚Methodologies (3)

📈 Growth & Metrics

A data tracking philosophy that shifts focus from counting events (observations) to capturing the state of the user and environment (context) at the moment of the event. This transforms data from a scorecard into a diagnostic tool.

Core Principles

  • 1.Step 1: Differentiate Observation vs. Insight. An observation is 'User booked a ride'. An insight explains *why* based on context.
  • 2.Step 2: Map the User's Reality. When defining an event, list every environmental variable visible to the user (e.g., price, weather, number of items on screen).
  • 3.Step 3: Instrument Heavy Properties. Do not just track `map_loaded`. Track `map_loaded` with properties: `num_drivers_visible`, `surge_pricing_active`, `weather_condition`, `pickup_distance`.
  • +1 more...

"If I see my girlfriend hanging out with a guy I don't know, that is an observed fact... The insight is, 'I am paranoid.' The insight provides value when you have this 'why' answered."

#context-first#instrumentation#growth
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🎯 Product Strategy

A strategic framework that separates the immutable constraints of the business environment (Physics) from the variables you can control and optimize (Levers). Growth comes from fitting levers into the existing physics, not trying to change physics.

Core Principles

  • 1.Step 1: Define the Physics. Audit the immutable realities: Market (who are they?), Product (what is it?), Model (how do we charge?), and Channel (where do they live?).
  • 2.Step 2: Identify Existing Assets. Look for underutilized assets within that physics (e.g., captive attention, existing supply).
  • 3.Step 3: Design the Lever. Create a mechanism that utilizes the asset to drive the goal without changing the core user behavior.
  • +1 more...

"We are not wizards. It's very hard to move the physics of a universe... Start with what currently works and exists."

#physics#levers#growth
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⚡ Execution

A methodology for validating demand and user experience by manually simulating the product backend. It prioritizes the 'front-stage' user experience over 'back-stage' scalability to get immediate data.

Core Principles

  • 1.Step 1: Define the Ideal Experience. What does the user *see* and *feel* if this feature works perfectly?
  • 2.Step 2: Hack the Interface. Use existing tools (WhatsApp, Typeform, Screenshots via In-App Message) to present the offer.
  • 3.Step 3: Manual Execution. Use humans (interns, founders) to manually perform the backend logic (e.g., checking databases, sending vouchers).
  • +2 more...

"If you don't have a tested hypothesis... honestly that idea is pretty useless. Testing the actual experience and seeing how people respond to it, that's the best possible data."

#'wizard#validation#protocol
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