The problem
A product manager at a top-tier management-consulting firm owned a line of organizational-research products — employee-engagement studies and employer-brand diagnostics sold to HR leaders at large enterprises. Demand was steady and retention sat above 80%. By every surface metric, things were fine.
But one question wouldn't go away: why do clients actually buy this? Without an answer, every investment was a coin flip. Ad campaigns underperformed. Features got built that nobody would pay for. Communication processes were created that clients didn't want. Some bets landed, some missed, and the team couldn't tell the difference in advance. It felt like venture gambling — try everything, expect most of it to whiff.
The old playbook made it worse: size the market, guess at a new product configuration, price it, and see if it sold. It never explained why one feature mattered and another gathered dust.
The insight: clients don't buy analytics, they buy standing
Jobs-based research reframed the whole product. HR directors weren't buying "engagement analytics." They were buying:
- Ammunition for the conversation with the CEO — data to argue a position and back a decision.
- Career protection and credibility — looking competent and defensible in front of leadership.
- Confidence and recognition — the chance to earn praise, security, and advancement.
The product was emotional as much as rational, and the team had been selling only the rational half.
What changed
Three concrete shifts followed:
- Marketing spoke the job, not the deliverable. "Engagement research" became "the tool that gives you the arguments for your conversation with the CEO."
- A feature filter. Every new idea had to pass one test: does this help the client earn, get promoted, or defend their position? "Cool" features and me-too copies of competitors got cut — saving the cost of building things nobody valued.
- Win-back outreach. Knowing the real job, the team re-pitched lapsed clients on the value they'd actually missed.
The results
- Annual revenue doubled — the same product, repositioned around the real job.
- 30% of customers lost over the prior five years came back.
- Wasted feature development stopped, freeing budget for work that mattered.
- Loyalty rose, with clients newly engaged around the emotional payoff the product delivered.
The takeaway the team kept repeating: 80%+ retention does not mean you understand your product. You can run a stable business and still have no idea why people buy — and that blind spot is a ceiling on growth.