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THE VIDEO SHELF · jobs to be done

Understanding the Job

Clayton Christensen explains the jobs-to-be-done idea in five minutes, using the fast-food milkshake example. The point is that understanding the job a product is hired to do makes it easier to improve.

Why HN readers recommended it

Cited as the short, famous introduction to Jobs To Be Done and competition framing.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Edward Capaldi
Topic
jobs to be done
Format
lecture
Level
intro
HN recommenders in dataset
3
HN mentions in dataset
3
Recommendation years in dataset
2019–2024

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • This is very much in the vein of Jobs to Be Done theory[0]. If you haven't heard of JTBD before, I would implore you to check-out Clayton Christensen's famous "milkshake" video here: [VIDEO] It goes into enlightening detail about the same framing of competition as …

    sarreph on Hacker News · 2020-12
    In The biggest competitor to your digital service? The Mars Bar
  • This video from Clayton Christensen gives a good summary of Jobs To Be Done using milkshakes at a fast food restaurant as an example: [VIDEO] Unrelated, but I saw Clayton Christensen speak at a conference years ago. He started out the talk by telling everyone …

    andygcook on Hacker News · 2019-11
    In Know Your Customers’ “Jobs to Be Done” (2016)
  • Also odd is the expression 'jobs to be done'. At first glance this seemed like an allusion to this famous ' Jobs to be Done ' Clay Christian talk [1] (well worth the 5 minute watch). But AFICT it's just coincidental use of the phrase. …

    nomilk on Hacker News · 2024-09
    In Measuring Developers' Jobs-to-be-done

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.