Great product analytics is not about tools, it’s about you.

Focus on your culture and the stack will follow.

Clément Caillol
Feb 14, 2019 · 11 min read
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ManoMano AAAA principles of product analytics: Agility, Autonomy, Accessibility, Agnosticity

Agility

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The measurement plan: Translating business questions into recordable events and properties.

Exhaustivity shouldn’t be the aim of your product analytics strategy. Instead, you should focus on measuring what really helps your decision-making and improve your tracking with small, incremental, regular improvements.

This raises the question of ownership: Who is responsible for maintaining the measurement plan?

Autonomy

This shift in ownership allows a similar shift in culture: success in product development is defined earlier and can be assessed by anyone.

Accessibility

I would argue that data-driven companies stand out by the strength of their data culture and the depth of their employees’ data literacy.

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Google cafeteria (credit Roman Boed)
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Event and trigger naming conventions defined by ManoMano’s product analytics council.

Agnosticity

ManoMano’s product analytics stack and process

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Data collector and 3rd-party integrator: Google Tag Manager vs Segment

We use GTM as an event-tracking aircraft carrier: all our events live there, where they can be easily monitored by our product analytics council, upgraded and eventually rerouted to any tool we want, the day a better solution emerges.

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ManoMano Product Analytics process
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Product Analytics visualization tools: Google Analytics vs Tableau vs Amplitude
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ManoMano product analytics stack to date (Q1 2019)

Conclusion: Continuous improvements

Startups, I discovered, cannot afford the luxury of escaping their reflection in the mirror.

Appendix: ManoMano’s implementation

Manomano Tech

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