LLM-driven Jobs-to-Be-Done analysis cut a 15-offering catalog down to five targeted packages — delivered in one month at one-tenth the cost of traditional methods.
A major consulting firm needed to create a package of offerings spanning their internal divisions — five packages targeting key events in a Life Science company. Our team used a Large Language Model to conduct a Jobs-to-Be-Done (JTBD) analysis, streamlining the offerings, reducing costs, and accelerating the project timeline.
15 offerings proved too overwhelming for customers to grasp.
The consulting firm had identified 15 potential offerings through internal SME brainstorming. The challenge was validating this initial list and creating a more manageable, market-facing package that effectively addressed the needs of their target audience — CFO, CISO, and CAE groups within Life Science companies.
We identified five key buyer groups and used the LLM to create a comprehensive JTBD map for each. Each map included the main job, eight sub-jobs, four steps per sub-job, plus emotional criteria, functional criteria, and circumstances.
We used the LLM to compare the JTBD maps to each of the 15 offering descriptions, identifying which sub-jobs each offering actually serviced. This created a clear map of offering fit — making it immediately visible which offerings overlapped and which had no job to do.
We narrowed 15 offerings to five. SMEs conducted a critical flaw analysis — confirming above 90% JTBD accuracy — and we developed market-facing test language for further customer validation.
The consulting firm received a researched and validated package with initial test marketing language within one month — at one-tenth the price of traditional methods. LLM-driven JTBD analysis proved it could streamline offerings, cut costs, and accelerate timelines without sacrificing rigor.