Predictive JTBD Data and Metrics Decoded

The 30-Second Framework to Guarantee JTBD Success

This post is for those of you who want to invest in a very precise method that wraps innovation in a framework that actually measures the progress from initial problem-framing, to innovation research, and ultimately to go-to-market offerings. Did they succeed? Did they improve metrics along predicted pathways, or some other way? While this was historically time-consuming, AI has helped make this so much simpler. And your research will benefit from it.

Are you concerned about how you will measure the effectiveness of your Jobs-to-be-Done research and the ultimate implementation of strategies? You’re not alone. I’ve wrestled with this myself over the years because it’s a question that gets asked a lot.

Not only do we rarely see robust, upfront determinations of what success will need to look like, when we do they are often very subjective.