Professional Painter Painting a Room
Can ChatGPT emulate an Outcome-Driven Innovation Practitioner?
I realize that many of you would like to adhere to the core principles of Outcome-Driven Innovation when creating job maps and desired outcomes statements. I totally understand. Therefore, I’d like to share with you that - yes - I have done some work on this and while there is more work to do, it ain’t bad.
The following Job-to-be-Done has been studied a number of times (once by me). While I won’t share any of those works, I will say that this one is very close. I still have some work to do on phrasing of Job steps (and I’m also instructing it to consider a Resolve phase in addition to Modify), but frankly, everyone crafts them slightly differently so I’d simply be imposing my style, or someone else’s style on the instructions.
So, instead of generating an entire catalog, I’m simply sharing the map and desired outcome statements that I’ve generated using ChatGPT. I am still fine-tuning this because even though I’ve been very instructive, it occasionally (even v. 4.0) ignores my rules. I don’t always correct it because that gobbles up the limited number of messages I can send every 3 hours.
For example, Minimize the likelihood that/of statements shouldn’t have words or phrases like “not”, “does not”, “is not”, etc. Nor should there be connective words in any statement like “and” or “or”. ChatGPT is a lot like my wife, it ignores me! 😆
I’ll keep you posted on my progress as I make the adjustments.
Note: the study I did used a less specific executor because we were testing multiple contexts, e.g., professional painters and DIYers.
Job Executor: Professional Painter
Job-to-be-Done: Painting a Room
Link to Job Map and Outcomes (triangle to the left of the step is a toggle button!)
Please share your comments below. Let me know if you spot any problems.
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Very interesting, I was really wondering if chatGPT would be able to generate accurate job maps and desired outcomes statements, or at least enough to justify it as input, knowing where it comes from. Now I know it can be "good enough". I suppose it also depend on the job executor and the JTBD? This one is pretty broad and common.
Any plans to share strategies on how you did that? Mistakes to avoid? Prompt examples?
Thank you so much for your posts and insights.