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How to build a billion dollar digital marketplace – examples from Uber, eBay, Craigslist, and more

Andrew Chen

Optimization : A/B testing growth levers – from email/SMS/push copy – to when/how to reach out. However, beyond the traditional techniques, we’ve also seen a recent trends towards deeper productization of workflows for buyers and sellers within a platform. Or perhaps all of them!

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28 ways to grow supply in a marketplace — by Lenny Rachitsky, ex-Airbnb

Andrew Chen

The biggest gains in optimization don’t come from brute-force A/B tests, but from trying to understand the real barriers to people using your product. For the more professional segments, you’ll likely need to build advanced tools and integrations in order to fit into their existing workflows. Tactic #17: Optimize conversion.

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Organizational Development: Theories on Organizational Change

Walk Me

The changes asked of team members can be small, such as moving to new workflow software or keeping digital records of their project progress. Netflix is one example of such a company, using A/B tests and sharing data collection findings with all aspects of the organization to use continuous change to foster a learning culture.

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Social Media's Productivity Payoff

Harvard Business Review

Firstly, social technologies will only succeed if they become part of the daily workflow, not an extra item on a to-do list that will never get checked off. gamification), A/B testing , and mobile deployment can be applied in the enterprise, just as they are used in the consumer space.

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Using Data to Increase Patient Engagement in Health Care

Harvard Business Review

We’ve also used the data to continuously improve our software and services; if some aspect of our product slows doctors down or creates more work for front-office staff, we can see the pain and adjust workflows to make it go away. We adjust our products to our clients’ behavior or workflows, acting as a benevolent invisible hand.

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The Kinds of Data Scientist

Harvard Business Review

Data infrastructure: data ingestion, availability, operations, access, and running environments to support workflows of data scientists. Data product manager: creating products for internal customers to use within their workflow, to enable incorporation of measurement created by data scientists. e.g. running Kafka and a Hadoop cluster.

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28 ways to grow supply in a marketplace — by Lenny Rachitsky, ex-Airbnb

Andrew Chen

The biggest gains in optimization don’t come from brute-force A/B tests, but from trying to understand the real barriers to people using your product. For the more professional segments, you’ll likely need to build advanced tools and integrations in order to fit into their existing workflows. Tactic #17: Optimize conversion.