This episode carries Benn Stancil's own address, with nobody on the show putting
questions to them. It still counts as said, and it is kept out of every score on their page.
Mode co-founder Benn Stancil presents heuristics for early-stage software founders trying to identify authentic user demand.
0:00 / 0:12exact quote · 12.7s
720p mp4 · rendered on demand · StarZero watermark
“And so when you're, like, looking for product market fit, this is actually probably the best thing you can do, is pay attention to, like, what are your girls in the red dress, ah, that everybody's actually distracted by when you're trying to get them to build the thing, or do the things you want them to do.”
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More from Benn Stancil
Insight
Stancil: High NPS is a strong PMF signal in crowded markets
“If you are a product that has a lot of competition then something like a high NPS is a pretty good sign of product market fit, because people have a lot of choices. You need to know that people, like, actually like your product. It's a thing that they want to …”
Benn StancilMay 10, 2023▶ 17:24Using data to find product-market fit
Insight
Stancil: Daily retention curves obscure vital differences in product stickiness
“The problem here is, if you just look at daily retention rates for these two things, they will look exactly the same. That the way this math works out is these two things can actually show the exact same retention rates on like a day-by-day basis. And really w…”
Benn StancilMay 10, 2023▶ 14:44Using data to find product-market fit
Insight
Stancil: Daily software needs a 50% DAU/MAU ratio for PMF
“One, if you are a product that needs to be used every day, something like what front is makes sense. Things like DAUs over MAUs, which effectively measures how many days in a month people are using your product. It's really important. A high number there matte…”
Benn StancilMay 10, 2023▶ 16:47Using data to find product-market fit
Insight
Stancil: B2B SaaS stickiness is measured by 4-day weekly active users
“Similarly, if you're, like, a SaaS business that's selling B to B, obviously, in that case, it usually follows much more of, like, a work week kind of pattern. And so if people are using your product more than four days a week, like, how many percentage of you…”
Benn StancilMay 10, 2023▶ 17:07Using data to find product-market fit
Insight
Stancil: 'Vitamin' products must measure user disappointment upon removal
“If your product is a vitamin and not a painkiller, so if your product is something that's kind of a nice to have, you want to actually see that people will be upset if they take it away. So this is actually a metric that I think Superhuman used, the email clie…”
Benn StancilMay 10, 2023▶ 17:41Using data to find product-market fit
Insight
Stancil: Startups only achieve product-market fit on a per-segment basis
“This is not something where it's like you are pre and post product market fit forever. You are pre and post product market fit for particular types of buyers, for particular products, for particular segments, and all those sorts of things.”
Benn StancilMay 10, 2023▶ 19:04Using data to find product-market fit
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