Daniel Schmidt
@danielfschmidt
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CEO & Co-founder of @DoubleLoopApp, a tool for product teams to visualize their product strategy. Author of https://t.co/rwzMcbkn1E. Maze designer at @mazestructure.
Albany, CA
Joined April 2009
Youโre shipping features, running experiments, and tracking dashboards full of data, but still wondering: Is any of this actually moving the needle? The data is sobering: Only 10-30% of shipped features create measurable business impact. Thatโs the messy middle: the gap between
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We founded @DoubleLoopApp to help teams escape the feature factory & drive impact. Now weโre excited to share that we're joining @Mixpanel โ a team that shares our vision. ๐ ๐Read more about our journey and why weโre joining forces with Mixpanel:
mixpanel.com
Get complete details about why DoubleLoop is joining Mixpanel and how metric trees is the key to accelerating growth for teams everywhere.
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We're developing AI at @DoubleLoopApp to help product teams predict and quantify the impact of their bets before committing resources. Here's a 5-min demo. Would love your thoughts.
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๐ง๐ต๐ฒ ๐๐ฐ๐ ๐ผ๐ณ ๐๐ฟ๐ฒ๐ฎ๐๐ถ๐ผ๐ป Connecting two seemingly disparate things can sometimes yield profound insights. Listen to @danielfschmidt talk about 'The Act of Creation' and learn why connecting your short-term inputs to your long-term outcomes is a great place to start
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๐๐ก๐ ๐๐๐ฌ๐ฌ๐ฒ ๐๐ข๐๐๐ฅ๐ Do you experience what @danielfschmidt calls the "messy middle," where many people doing the essential work โ engineering, design, marketing โ struggle to understand how their work fits into the bigger picture of the business? Does your work
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This weekโs Cyb3rSyn Newsletter summarizes the key highlights of the inaugural Cyb3rSyn Labs Podcast episode - my conversation with @danielfschmidt, the Founder of DoubleLoop. I wanted the first episode of the Cyb3rSyn Labs Podcast to be at the intersection of the ideas that we
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8/ With AI reducing the friction of acquiring domain knowledge, the gap between wanting a system to work better and building it is shrinking. Passion and vision are still critical, but the barriers for inside-out neophytes to execute are lowerโand falling every day.
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7/ Iโm biased, but I believe the advantage increasingly goes to inside-out neophytes thanks to LLMs . Conversing with AI has helped me advance up the data science learning curve faster than I ever could have before. Without it, DoubleLoop might not exist today.
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6/ Stripeโs founders are great examples of inside-out neophytes. As developers, they faced firsthand the frustration of clunky payment systems while building other projects. They knew how they wanted payments to work but hadnโt implemented a system before Stripe.
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5/ This made me realize there are two forms of neophyte naivete: 1๏ธโฃ Inside-out neophytes: They know the results they want but are ignorant about the inner workings of the system. 2๏ธโฃ Outside-in neophytes: They are system experts but lack an external perspective or awareness of
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4/ I oscillate between two thoughts: Iโm the perfect person to solve these problems because I know exactly what I want the output to be. Iโm an imposter because I've never worked as a data scientist.
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3/ I want this argument to be true because I often feel like a neophyte while building DoubleLoop. DoubleLoop started as a product management tool, but helping PMs maximize impact led us to solving data science problems. Today, many of our most important users are data
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2/ Classic examples of neophyte founders include: Airbnb: Redefined hospitality despite no prior experience in the industry. Uber: Disrupted transportation without a background in logistics.
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1/ Do you agree with the idea that neophytes are the best people to found companies? The argument is that individuals with less domain experience are uniquely positioned to revolutionize an industry because theyโre not constrained by conventional thinking. ๐งต
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.@MarkHalperin has become my most relied upon honest broker of what's happening in the US political system. For example: "There's one group of Americans who believe that Donald Trump and the dominant media have 'defined deviancy down,' meaning he does things that would normally
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Tech leaders who are vocally supporting Trump for president are gaslighting the public in the same way that they accused the left of gaslighting the public about Biden.
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I listened to @elonmusk 's interview with @realDonaldTrump last night. It was disappointing that it was only marginally different than any other interview or press conference that I've heard Trump do.
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One word to describe a brutal and critical job product leadership: translation.
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Just shipped a new iteration of marketing site. What do you think? https://t.co/hmKjn4PKih cc @tomcritchlow
doubleloop.app
DoubleLoop's Value Architecture platform reveals hidden growth levers in your business data. Reduce wasted effort, identify what truly moves metrics, and align teams around measurable outcomes.
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