Seah Ying Cong
How Might We's
* HMW help indie algo traders gain capital via verified results
* HMW help birdwatchers ID birds quickly
* HMW help companies document their policies and decisions in a way that is
access-restricted, with version controls, edit approvals and commenting
* HMW show runners their steps per minute
* HMW help self-improvement book readers remember
Timelog 16 Oct 2021
Timelog 15 Oct 2021
Timelog ⏰ 14 October 2021
Learnings from Erik Bernhardsson's parable
https://erikbern.com/2021/07/07/the-data-team-a-short-story.html
* Watch for a culture of output vs outcomes (eg. PM psyched about delivering 2
days in advance, but not sure about the statistical significance of the
uplift)
* Get an accurate view of what is happening here
* Work with the people you have
Timelog 13 Oct 2021
Everyone knows it already
I used to be enamoured with doing things that hadn't been done before, which is
well and fine when you are breaking new grounds as a researcher. My problem was
that I wasn't nuanced in my application of this desire. Heck, I wasn't even
How might we’s
Problems I observe in my life that are worth solving:
* HMW help people stick to fasting schedule
* HMW help people plan out a roadmap of foundational life habits to build up
* HMW help people plan out and stick to their productivity trident
* HMW help people determine their life goals, and
Distribution First
This is one of those lessons I have known about in the abstract, but recently
gained a lot more definition on.
When we started Glints, we cracked our heads trying to figure out product-market
fit for several years. We generally languished and barely grew, especially in
revenue. We have this