01
First Round
How Superhuman Built an Engine to Find Product/Market Fit
20+ min · · Superhuman founder and CEO Rahul Vohra walks us through the framework his startup used to make product/market fit more actionable, detailing the survey and four-step process that were key to measuring… · Shared by 1092, including Teresa Torres, Leo Polovets, Satya Patel, Ben Tossell, Niti Shree, Peter Hogenkamp, Marty Cagan, David Cancel, Bryan Harris, Thomas Power, Max Stoiber, Howard L Morgan, Tiago Forte, Charlene Li (she/her), Gianluca Diegoli, Peter Kazanjy, Mark Kaigwa, hiten.eth, Bill Trenchard, TK Kader
Superhuman shares how they used a survey "formula" and segmenting to identify their ideal user, and what they value.
The "product-market fit score" is a leading indicator.
02
Jeff Chang
The best metric for determining quantitative product market fit
7 min · · Cohort retention rate is the most important product market fit metric · Shared by 440, including Remy Bataille, Clemens, Thomas Wong, blinch, hiten.eth, Gianluca Diegoli, Stefan Weber, Johannes Dornisch, Dominik Grolimund, Ilia Markov, Marc Gasser, Oliver Raduner, Mark Kaigwa, Gio Tiongson, Jacob du Toit
Spoiler: it's a mix of cohort retention rates and the P/M Fit score
03
Journal
Net Promoter Score Considered Harmful (and What UX Professionals Can Do About It)
16+ min · · In 2003, a marketing consultant named Fred Reichheld lit the business world on fire with the Harvard Business Review article The One Number… · Shared by 316, including Chris Messina, Rodrigo Prior, tjalve, Center Centre – UIE, laugri, Mark Kaigwa, Marsha Collier, Klaus Eck, Thomas Power, Nick Finck, Tim Herbig, Glenn Oberholzer, James Young, Esther Schindler, Nir Eyal, Matthias Lampe, 📁𝐦𝐫𝐯𝐧, Dominik Grolimund, Gio Tiongson, Zain Fathoni
I've tried NPS before but this has me convinced it's not reliable.