Two things are important.. getting to know what the continuum is and other is validation. To me personally the contextual information now made available faster thanks to AI fastens the validation conversation.
I'm a little surprised by ChatGPT's ability to create hypothetical job maps and outcome statements. It certainly doesn't produce junk with the jobs I've asked it to work with.
I do wonder if conversational chat bot style AI could be used to replace the human effort to capture job steps and desired outcomes. I'm trying very hard to learn JBTD and it feels like a high effort approach that may be rejected by many organisations as too hard. My instant reaction to that is "of course it should be hard" but if I was to write an outcome statement for product discovery it would be "minimise time needed to understand market needs"
CGPT isnt ready to output everything at once. However, I've found you can break things down into their component parts. I'm sure putting them together can be automated but frankly, at this point it still needs scoping and QA. This is why I create catalogs you can use to create a map (if a map is even necessary). My instructions incorporate map concepts but the inputs required to construct a survey don't require a map.
Two things are important.. getting to know what the continuum is and other is validation. To me personally the contextual information now made available faster thanks to AI fastens the validation conversation.
Currently, very few practitions go back AFTER a survey to validate the story they've concocted :)
I'm a little surprised by ChatGPT's ability to create hypothetical job maps and outcome statements. It certainly doesn't produce junk with the jobs I've asked it to work with.
I do wonder if conversational chat bot style AI could be used to replace the human effort to capture job steps and desired outcomes. I'm trying very hard to learn JBTD and it feels like a high effort approach that may be rejected by many organisations as too hard. My instant reaction to that is "of course it should be hard" but if I was to write an outcome statement for product discovery it would be "minimise time needed to understand market needs"
CGPT isnt ready to output everything at once. However, I've found you can break things down into their component parts. I'm sure putting them together can be automated but frankly, at this point it still needs scoping and QA. This is why I create catalogs you can use to create a map (if a map is even necessary). My instructions incorporate map concepts but the inputs required to construct a survey don't require a map.