Suggestions
Shreyas Doshi
Startup advisor. Coaching PMs through courses.
Shreyas Doshi is a prominent figure in the tech industry, currently serving on the Board of Advisors at Insider since June 2023. He is also the owner of High Leverage Labs, a role he has held since October 2022. Doshi has extensive experience in product management and advisory roles across various startups and established companies.
Professional Background
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Previous Roles: Doshi has held significant positions at major tech companies, including:
- Product Manager at Stripe (February 2016 - May 2021)
- Director of Product Management at Twitter (June 2014 - January 2016)
- Group Product Manager at Google (June 2008 - May 2014)
- Senior Manager of Product Management at Yahoo! (August 2006 - June 2008)
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Advisory Positions: In addition to his role at Insider, he advises several companies, including SaaS Labs, O'Shaughnessy Ventures, InVideo, and Chainlink Labs, among others.
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Education: He graduated from the University of California, Irvine.
Contributions and Expertise
Shreyas Doshi is known for his insights into product management and leadership. He actively shares his knowledge through writing and speaking engagements, focusing on coaching product managers and enhancing their strategic thinking skills. His expertise includes navigating the challenges of product strategy and execution within various organizational contexts.
Overall, Doshi's extensive background in product management, combined with his advisory roles, positions him as a significant contributor to the tech and startup ecosystems.1
Highlights
There's a coaching method I’ve recently been using with founders & senior leaders that I think gets at the most important AI-age skill in real time. I call it AI-in-the-loop coaching, here’s how it works:
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we discuss a problem you’re facing or a decision you want to make
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you paste our verbatim discussion into an LLM of your choice (thanks Granola)
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ask it for recommended action(s)
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we carefully review the LLM’s response
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I then highlight what parts of the response are compelling/useful, what parts are not (and why)
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I type in further prompts to get more refined answers (easy via Zoom screen control)
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and then, this is the best part: we discuss how we can reach an even better, more correct answer for this specific situation than what the LLM returned
Why this works:
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Creates the habit of critical thinking for AI responses - too many people these days are getting impressed by the format and language of AI output and are not evaluating the output critically enough
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Brings up ideas that may not come up organically in human-to-human discussion
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Shows how to frame better questions to get higher quality answers from AI
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Shows how you can reach more optimal ideas, answers, recommendations by layering strong human judgment on top of an already-great AI response
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Builds confidence in one’s own ability to do this as the models continue to get smarter 🙌


