by tekkk on 8/29/24, 9:06 AM with 38 comments
by bko on 8/29/24, 1:10 PM
But if you have users you can simply test product market fit to see engagement. If people are engaged, that's a good sign. If you have people that are signed up and aren't engaged, that's a bad sign.
The author uses Slack as an example of a company that has product market fit and over 50% of users surveyed would say they'd be "very disappointed" without Slack (the magic number to beat is 40%). I wonder how that poll would fare for Microsoft Teams, that has 320 million MAU compared to around 40 million for Slack (roughly, few years old but order of magnitude is ~10x). Does Slack have more of a product market fit than Teams because very few people would be disappointed if Teams stopped existing? Or is usage a better metric?
by sarora27 on 8/29/24, 4:44 PM
by andrewstuart on 8/29/24, 11:42 AM
I guess it’s VC product fit. Or VC salesman fit or something.
As the other comment in this thread asks “the proof is in the pudding, does Superhuman have product market fit today?”
by flappyeagle on 8/29/24, 3:39 PM
by Satam on 8/29/24, 12:03 PM
Finally, some time ago managed to sign up in hopes it could help to manage multiple inboxes with a unified inbox for all of my accounts. Nope doesn't have that. Canceled my subscription immediately yet I kept receiving their spam for a while.
Overall, a very scammy vibe.
by cklemming on 8/29/24, 11:12 AM
It's been a bit quiet since their insane hype-cycle during the time this article was published.
by lowkey on 8/29/24, 3:58 PM
by codegladiator on 8/29/24, 12:28 PM
by dwallin on 8/29/24, 2:26 PM
With a small sample size and large numbers of personas / categories you would expect to see a positive bump, even if there was no statistical relationship between the persona and the preference. Since you are only eliminating categories that don't happen to be represented in the subset you are testing, you can only ever actually go up.
For demonstration I rolled 20 dice randomly for 6 personas and 3 categories of preference:
1, 5, 4, 4, 4, 2, 6, 1, 4, 2, 1, 2, 5, 6, 3, 6, 3, 2, 1, 3
A, A, A, A, B, C, B, A, C, A, C, A, B, C, A, A, B, A, B, B
A = 10, B = 6, C = 4; Which gives me 20% for C
I restrict myself to just the numbers that voted for C (2, 4, 1, 6) removing all 3 and 5s
I now am left with:
1, 4, 4, 4, 2, 6, 1, 4, 2, 1, 2, 6, 6, 2, 1
A, A, A, B, C, B, A, C, A, C, A, C, A, A, B
This now gives me A = 8, B = 3, C = 4
And now I get 27%, a nice 35% boost! Even better than Superhuman's 10% boost. But this is all an illusion, there was absolutely no dependency between the persona and preference here, which you would only see with a large enough sample size.
by ed on 8/29/24, 9:10 PM
Peter Reinhardt from Segment has a must-watch talk for anyone interested in this topic https://youtu.be/_6pl5GG8RQ4?si=pogHC45L58U7K6mW
by nextworddev on 8/29/24, 3:39 PM