Customer needs analysis
The diagnosis. Contextual intelligence about the customer's world, analytical depth about the problems underneath the problems, and clarity about who feels them.
Customer needs analysis is the first of the eight phases of the Strategic Customer Planning Cycle, and the one AI has changed most, because the reading is now cheap and the understanding is not. Data is not understanding. A model will digest the annual report, the investor calls and the strategy deck in a minute; what it hands back is context, and context is the first of three pillars.
The second is analytical depth: the problems underneath the problems the customer talks about, which usually sit one or two “why” questions below the brief. The third is clarity about the stakeholders who feel those problems personally, because a problem nobody owns is not a problem anyone will pay to solve, and this is where the decision-making unit gets mapped. The phase ends with a precise statement of the customer problem worth solving. If you cannot write that sentence, the ideation that follows will be ideation about your product.
Set out in full in: Creating Customer Value Propositions with AI (Kogan Page, 2027), chapters 4 and 5.
Related terms
The Strategic Customer Planning Cycle
ODI, value sell, value capture: three stages run as a compounding loop, at the level of a sector, a channel or a single key customer.
Decision-making unit (DMU)
The people who decide, influence, use, pay for and can veto a purchase. Mapped as roles, dispositions and relationships, not job titles.
Customer management
How current and strategic your knowledge of each key customer is, against whether your offers address their problems or promote your capabilities.
Offer ideation
Diverge before you converge. The machine's gift is width; the cull is yours.
See the method run on one real account in three days: the One Page Proposition.