AMA: Dropbox Group Product Manager, DocSend Growth, Willie Tran on Growth Product Management and Experimentation
September 20 @ 10:00AM PT
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Dropbox Group Product Manager, DocSend Growth | Formerly Mailchimp, Calendly • 3y
Personally, I've always used pirate metrics. Acquisition - Getting the user to sign up Activation - Getting the signed up user to realize the value of the product Revenu...
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Dropbox Group Product Manager, DocSend Growth | Formerly Mailchimp, Calendly • 3y
I've wrestled with this over the course of ten years now. I used to think Growth PMs and Core PMs should just be one in the same and every Core PM should be able to do Gr...
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Dropbox Group Product Manager, DocSend Growth | Formerly Mailchimp, Calendly • 3y
The number one thing first time growth PMs get wrong is only focusing on wins and not involving their team. When creating a Growth squad, your number one enemy isn't not ...
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Dropbox Group Product Manager, DocSend Growth | Formerly Mailchimp, Calendly • 3y
The areas I index the most when hiring someone: Partial - Do they fall in love with their own ideas? If so, then I don't believe they will be a strong Growth PM. Given s...
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Dropbox Group Product Manager, DocSend Growth | Formerly Mailchimp, Calendly • 3y
If you're trying to measure the results of an experiment, assuming they're under a binomial distribution, you just need the numerator and denominator (people exposed to t...
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Dropbox Group Product Manager, DocSend Growth | Formerly Mailchimp, Calendly • 3y
I mentally use the ICE (Impact, Confidence, Ease) framework when prioritizing experiments. Impact = How many people does this affect? Confidence = How sure are you that t...
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Dropbox Group Product Manager, DocSend Growth | Formerly Mailchimp, Calendly • 3y
By far the best material you could read to learn about PLG has nothing to do with PLG. PLG is based off of the Scientific Method you learned in grade school. Go back and ...
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Dropbox Group Product Manager, DocSend Growth | Formerly Mailchimp, Calendly • 3y
Ideally, you design experiments in a way that seek to answer a question regardless of the result. For example, "do users not adopt this feature because of discoverability...
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