Jun 5, 2020 · 26m · 20vc
20VC: How To Scientifically Measure Product-Market Fit, How To Efficiently and Accurately Segment Users Into Cohorts, Why Investors Analysing CAC's at Pre-Seed Is Not Useful & How To Determine Between Customer Feedback to Accept vs Reject with Daniel Eric
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this episode of The 20 Minute VC, Harry Stebbings interviews Viable Fit founder Daniel Erickson on how startups can scientifically measure, segment, and sustain product-market fit. Erickson shares foundational frameworks from his career at Yammer, Gettable, and Ease to demonstrate how qualitative user feedback drives smarter product roadmaps and sustainable venture growth.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Harry holds 40.8% of the talking time here. How this is scored →
Harry as informed peer 3.2 Guest teaching 4.5 Guest disagreement 1.0 Harry pushing back 2.0
speaking balance: gold is Harry, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 15:53 Daniel Rejects the Anti-Faster Horse Premise
Daniel directly pushes back against Harry's Henry Ford analogy, asserting that users sometimes do want faster horses and citing Google and Zoom as triumphant examples.
Hardest push from Harry ▶ 15:53 Harry Challenges Survey Reliance with Henry Ford ParadoxHarry presses Daniel on the limits of user surveys, asking whether listening too closely to customer feedback prevents founders from building breakthrough products.
Biggest teaching moment ▶ 19:21 Reframing ViableFit into Qualitative Product IntelligenceIn response to Harry questioning whether the product is large enough to be a massive company, Daniel educates Harry by carving out a distinct qualitative product intelligence category alongside Amplitude and Mixpanel.
Harry holds his own ▶ 9:05 Harry Critiques Early CAC and LTV MetricsHarry demonstrates strong venture knowledge by calling out seed investors who obsess over granular CAC and LTV numbers despite extreme early-stage volatility.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Harry as informed peer | Guest teaching | Guest disagreement | Harry pushing back | Why |
|---|---|---|---|---|---|---|
| Daniel Erickson's Founder Journey and the Creation of Viable Fit | 1 | 4 | 0 | 0 | Harry welcomes Daniel and asks a standard background question regarding his path to founding Viable Fit. Daniel provides an extended narrative covering his agency work, Yammer, Gettable, Ease, and how Rahul Vora's Superhuman framework on 20VC inspired his company. | |
| Lessons in Product-Market Fit from Yammer, Gettable, and Ease | 4 | 5 | 1 | 2 | Harry demonstrates domain expertise by questioning why seed investors focus heavily on volatile CAC and LTV metrics. Daniel educates on the Sean Ellis 40 percent PMF benchmark and clarifies that PMF is the leading indicator required before CAC and LTV become meaningful. | |
| Executing the PMF Survey and Cohort Segmentation Strategy | 3 | 5 | 0 | 1 | Harry asks insightful off-schedule questions regarding target market sizing, email versus SMS response rates, and closed beta tactics like Superhuman or Clubhouse. Daniel details tactical survey mechanics, highlighting how embedding single-question buttons yields 40 percent email response rates. | |
| Translating Qualitative User Data into Product Roadmap Strategy | 5 | 6 | 3 | 5 | Harry pushes back on customer feedback loops by invoking Henry Ford's quote about users asking for faster horses rather than cars. Daniel forcefully counters the premise by arguing that Google and Zoom were essentially faster horses, distinguishing between the science of data and the art of product vision. | |
| Sustaining PMF and Building Qualitative Product Intelligence | 4 | 5 | 2 | 4 | Harry bluntly asks if Viable Fit is just a feature or a true venture-scale company. Daniel reframes the category entirely, schooling the host on how qualitative product intelligence complements quantitative platforms like Amplitude and Mixpanel. | |
| Quick Fire Round with Daniel Erickson | 2 | 2 | 0 | 0 | A friendly quickfire round covering favorite books, valuation advice, and Silicon Valley remote work dynamics. Both speakers agree on keeping valuations reasonable to preserve headroom for future funding rounds. |
Statements from this episode (14)
Erickson: Gettable Failed to Find Product-Market Fit Over Four Years
“Gettable was a construction equipment rental marketplace that was still in its infancy. I spent the next four years there trying to find product market fit, but we never really found it.”
Erickson: Product Roadmaps Should Balance Core Strengths with Long-Tail User Fixes
“Your roadmap should be automatically prioritized as you come up with project ideas, and it should help you strike a balance between investing in your strengths and working on the long tail of features and fixes that will help turn less enthusiastic customers i…”
Regulatory shifts forced Eaze in and out of product-market fit
“Ease had product market fit in the previous market, medical only, but in 2018 we had to deal with both a changing market and regulations that forced us to change our delivery model. We spent the next couple of years moving in and out of product market fit, whi…”
Product-market fit requires 40% of users to be very disappointed without it
“You have product market fit when at least 40% of your users say that you would be very disappointed if they could no longer use your product.”
Erickson: Seed stage is definitely too early to measure CAC and LTV
“So in my opinion, at least, seed stage is definitely too early to start measuring CAC and LTV, but they're still super important to keep in mind.”
Erickson: Product-market fit indicates when seed startups should focus on unit economics
“PMF is a much better seed stage metric because by showing you how much your product is resonating with your customers, it tells you when to start focusing on CAC and LTV.”
Erickson: Accurately Measuring PMF Requires Explicit Target Market Segmentation
“Without defining a target market, And marking each user as in or out of that market, you won't know your true product market fit.”
Erickson: Embedding Survey Questions in Emails Drives 40% Response Rates
“So what we do actually is we embed the first question in the email itself and give users three buttons that they can click for the three different answers. This ensures that we get up to about a 40% response rate for that first question.”
Erickson: Google and Zoom succeeded by building faster horses
“Sometimes users want a faster horse. Google and Zoom are both great examples of that.”
Erickson: Discard product feedback from non-disappointed survey respondents
“You should discard the feedback that you receive from the users who would not be disappointed if they could no longer use your product. They're not really your target market or your audience, so it's best to just politely thank them for their feedback and shif…”
Erickson: Viable Fit aims to make PMF the next NPS
“We want to make PMF, the next NPS, and specifically have it focused on product success instead of the more customer service and operations teams oriented approach that NPS takes.”
Erickson: Product-market fit is a dynamic metric, not a permanent state
“Product market fit is like any other metric. It can rise and fall as your product and market changes and grows. And there's, it's not this static thing that once you get it, you've got it.”
Erickson: Early-stage founders should prioritize low dilution over high valuations
“So I would say in the early stages, at least, don't worry too much about valuation. It's a good idea to keep an eye on dilution, but it's better to raise less at a lower valuation and a lower dilution than to raise at a larger amount at a high valuation early …”
Erickson: Product-market fit will be product teams' primary metric within five years
“In five years, PMF will be the main metric that product teams track to gauge success, much like NPS now is for support and operations teams. ViableFit will have rocketed out of the tech industry and gained a foothold in enterprise companies across all industri…”