man I just love this book this Jeff this Jeff Patton book about user story mapping I love what Jeff Patton did
Lenny's Podcast, "What differentiates the highest-performing product teams", lightning round, asked for the books they recommend most; the guest's own spoken answer (YouTube captions).
there's a show called Sunny bunnies it's these fluffy bunnies um that's really good
Lenny's Podcast, "What differentiates the highest-performing product teams", lightning round, favourite recent movie or TV show; the guest's own spoken answer (YouTube captions).
then there's this animated series called booba and he's this like funny guy I like booba
Lenny's Podcast, "What differentiates the highest-performing product teams", lightning round, favourite recent movie or TV show; the guest's own spoken answer (YouTube captions).
so I really like the book how to measure anything finding intangibles or finding the value of intangibles in business so that's by Douglas Hubbard
Lenny's Podcast, "What differentiates the highest-performing product teams", lightning round, asked for the books they recommend most; the guest's own spoken answer (YouTube captions).
AccelerateBookNicole Forsgren, Jez Humble and Gene Kim
recommended
the second one I think would probably be accelerate so Nicole forsgren uh Gene Kim she has humble like that's just one of the best books in the world
Lenny's Podcast, "What differentiates the highest-performing product teams", lightning round, asked for the books they recommend most; the guest's own spoken answer (YouTube captions).
Every entry is a verbatim quote and a link to the public post it came from. Nothing is paraphrased. If it is not on record somewhere public, it is not here.
The verdict is what they actually said: loved and liked are explicit; recommended means they told others to get it; uses means they only say they use it; read is a book on their public shelf with no verdict; mixed and disliked are kept too.
A dashed affiliate link, sponsored or their own label means the post disclosed a relationship. It is shown, never hidden.
The shading behind a date shows how dated a recommendation is for its kind of thing.
The shading behind a date shows how dated a recommendation is, for its kind of thing. Fully green is recent. It drains a quarter at a time as the post gets older, and is empty once it reads as dated.
What counts as old depends on the thing. A laptop praised four years ago has been replaced twice; a book loved twenty years ago is probably still loved. The shading is gone after about:
Hardware, services4 years
Software5 years
Podcasts, courses, other8 years
Books25 years
Stripes mean the post carries no date and the date shown is an estimate. No date at all, no shading.