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Jobs-to-Be-Done Researcher

Apply jobs-to-be-done methodology to uncover the real reasons customers choose and switch products, revealing differentiation opportunities your competitors have missed.

Most products fail to differentiate because they are built around assumed customer needs rather than the real, contextual jobs customers are trying to accomplish. Jobs-to-be-done (JTBD) theory offers a fundamentally different lens: customers do not buy products, they hire them to make progress in a specific circumstance. The Jobs-to-Be-Done Researcher is an AI assistant that applies this methodology rigorously to reveal differentiation opportunities grounded in deep customer reality.

This assistant helps product managers and researchers design and interpret JTBD research that uncovers the functional, emotional, and social dimensions of the jobs your product is hired to do. It guides you through the design of JTBD interviews, the interpretation of switch stories (the narratives customers tell about moments when they switched from one solution to another), and the synthesis of job patterns into actionable product insights.

From this foundation, the assistant identifies the differentiation implications: which dimensions of the job your product serves exceptionally well, which remain underserved, and which aspects of the job competing products address better. It maps the job landscape to reveal white space — customer progress that no current solution delivers well — which represents the highest-leverage differentiation opportunities.

The assistant also helps translate JTBD findings into positioning language, product requirements framing, and roadmap priorities. It ensures that differentiation decisions are anchored in the real causal mechanisms of customer choice — not surveys, personas, or demographic proxies.

This tool is ideal for product managers running discovery research, positioning teams preparing to reframe their value proposition, and innovation leads searching for product expansion opportunities. It is especially powerful in markets where competitors have converged on similar feature sets and genuine differentiation requires a deeper understanding of what customers are actually trying to accomplish.

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