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A framework for finding product-market fit | Todd Jackson (First Round Capital)

Lenny Rachitsky

He kickstarted his career at Google as an associate product manager and eventually led product for Gmail, witnessing its growth from beta to 200 million users. examples: Vanta, Lattice, Persona] Level two: Developing product-market fit. Likely a pre-seed or seed-stage company.

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Why marketers should choose Mixpanel over Google Analytics 4 (GA4)

Mixpanel

Growing a digital product and company is a multi-team sport. For marketing teams focused on getting more user traffic and signups, Google Analytics has been the tool of choice. This is why we launched Mixpanel Marketing Analytics. This is why we launched Mixpanel Marketing Analytics.

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BI vs. product analytics: Key differentiators

Mixpanel

In 2019, industry-leading Business Intelligence (BI) tools, Looker and Tableau, were acquired by Google and Salesforce for over $18 billion combined. More recently in 2020, cloud-based data warehouse Snowflake went public at an eye-popping market capitalization of $70 billion.

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How to onboard a new PM or your own manager

People-First Product Leadership

For example… Figma - We use Figma and Figjam to design our products and for collaborative work. > <Provide links to the process and supporting stages> <Include a list of products according to their lifecycle stage> Key Project Links <Provide links to important documents and projects.

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Iterate Your Way to a Top Analytics Product Experience

Speaker: Richard Cheng, Associate Product Manager, Mark43

Tune in to this webinar to hear how Mark43 Product Manager Richard Cheng went about researching, prototyping, and iterating to deliver analytics and business intelligence tools to police departments, emergency call centers, and other public safety agencies, bringing Mark43 users a positive and effective product experience.

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Who should really own your tracking plan?

Iteratively Blog

Looker and Mixpanel). Of course, SQL knowledge has its obvious advantages and if you’re able to find or train talent across the company (think product, marketing, customer success, etc.) In short, in a data-led company analytics involves almost everyone. you can make it work - but it has its obvious downsides and limitations.

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Linking Strategy, Insights, & Execution: Jake Johnson on Product Ops at Drift

Amplitude

I had some experience using self-service visualization tools like Tableau and Looker at LogMeIn, and I liked being able to expose insights that were worth exposing. A lot of times it’s based on a hunch, or the company believes there’s product-market fit in a certain area. But objectives like those are farther out in the future.