What Scientific Product Market Fit Looks Like #ceo #podcast

19 Sept 2023 · 1 min

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Excerpt from a YouTube podcast ("What Scientific Product Market Fit Looks Like") where two speakers discuss methods for validating product-market fit. Key points: they use LinkedIn to collect feedback because ~90–95% of their portfolio startups are B2B; cold-email campaigns lack statistical relevance until sample sizes exceed ~100 emails (speaker's rule-of-thumb), so even high open rates (example given: 65%) may be unconvincing; designers balance quantitative thresholds with gut-level positive responses — one speaker describes launching a "Tanul GPT as a service" campaign and receiving immediate affirmative responses.

Chapters

You know, for us, LinkedIn has been the go to to get feedback. So from all our portfolio startups, about, you know, 90, 95% of them are B2B. So, you know, it's easier for us to do that versus Facebook or Instagram ads.
And how do you do that from a scientific perspective? For example, I find that in my cold email campaigns before 100 emails, there's no statistical relevance. So even if the open rate is like 65%, I don't really care much. I also have the gut level healing feedback if I start a campaign like yesterday I started building your Tanul GPT as a service, you know, agency. And I'm getting responses this morning of like, yep, I'm down, let's go. I have a gut feeling this is going to work. You know.