10 Behavioral Science concepts & examples for better creative problem-solving
10 Behavioral Science concepts & examples for better creative problem-solving 🧵— Justin Williams ♡ (@Product_Foolery) August 31, 2022
Partial summary of Andrew Chen's the Cold Start Problem
I'm partway through @andrewchen's The Cold Start Problem and already love it 💙https://t.co/QIzCF4XhsS— Justin Williams (@Product_Foolery) December 9, 2021
A few takeaways that helped deepen my understanding of one of today's most fashionable buzzwords: Network Effects.
5 quality of life improvements for PMs
5 quality of life improvements for PMs— Justin Williams (@Product_Foolery) January 5, 2022
1️⃣ The lazy way to keep up with competitors
2️⃣ Effective product debates using @lennysan's magic question
3️⃣ Apple's copy/paste wizardry
4️⃣ Slack emoji shortcuts for any app
5️⃣ Extension that makes email suck 8% less
A thread 🧵🔽
11 non-obvious ways to come up with product & feature ideas
11 non-obvious ways to come up with product & feature ideas (with examples)— Justin Williams ♡ (@Product_Foolery) October 22, 2022
😈 Customer misbehavior
⚡ The 1-day design sprint
🗳️ Note & Vote
More below 🔽
Live Tweeting Lenny's PM Fundamentals Course
Good PMs of Twitter, I have the privilege of live-tweeting the 2nd session of @lennysan's PM Fundamentals tonight! 🤟— Justin Williams (@Product_Foolery) December 3, 2021
We know it's critical, but what are the practical ways you can up your game?
See below🧵⬇️ starting @ 5PM PST
👋 Good evening Twitter,— Justin Williams (@Product_Foolery) December 10, 2021
I'll be live-tweeting @lennysan's session for cohort 2 of Product Management Fundamentals shortly.
Tonight's topic: 😎 Execution in Product Management
Why do certain friends need "jobs" at parties?
Social Status explains why some friends need jobs at parties.— Justin Williams (@Product_Foolery) February 20, 2022
5️⃣-tweet thread 🧵
🐘 Inspired by @robinhason's Elephant in the Brain.
Product Discovery in one tweet
Product Discovery in a tweet— Justin Williams ♡ (@Product_Foolery) September 21, 2022
✨ Define problem/opportunity
💭 Identify potential solutions
🥽 Pick solution(s) to test
🧪 Run tests
🛠️ Build: It worked
🔁 Iterate: update + retest
🔪 Kill: It was terrible
🗄️ Shelve: might have legs, but not now
Rinse & repeat
Help those with kidney disease avoid dialysis by making it easier to raise awareness of their need for a kidney donor.
Solution Part 1
Asking for an organ is incredibly awkward. We built software that generates microsites to make it easier to raise awareness of their need. Johnson's Hopewell site
Solution Part 2
We interviewed real donors who answered specific questions from prospective donors and then hosted them in short-form video format: Hopewell Donor Alumni
Dickey's Goodbye & Good Riddance
Doc Evan's 40th
My Wife's 40th
Help a 100-year old Workers' Compensation company reinvent their brand and product. Our goal was to go from a purchase process that often lasted over a month to the ability to be able to buy in less than 5-minutes on your phone.
Through competitive testing, we learned that the issue preventing customers from buying online was the inability to match their business to an insurance classification.I worked with our data scientist to create Arthur, a snarky NLP algorithm that lets customers describe their business in their own words (free text), and Arthur figures out the classification for them.In our first year, we achieved:
$2.2M in revenue
95% underwriting accuracy
88% of purchases require no human touch
~6 minutes: Average time to purchase
“This is the easiest insurance I have over obtained.” - Gordon Arbuckle, Arbuckle & Co, Boulder, CO