Key Principle
Across six cases spanning software licensing, legal discovery, animal nutrition, power tools, medical devices, and refrigeration, one cross-case pattern dominates: the primary bottleneck to innovation is not building new things but seeing which outcomes are unmet and who to ask. Once the Opportunity Landscape makes underserved outcomes visible, companies routinely solve them by repackaging existing assets, rewriting messaging, or making targeted modifications to existing platforms — not by inventing from scratch. The second cross-case pattern: expanding who you study (multiple job executors, the actual end user rather than an intermediary) consistently unlocks opportunities invisible to conventional research.
Why This Matters
These cases provide empirical evidence that ODI's quantitative framework converts into revenue across industries, company sizes, and innovation types (product, service, messaging, M&A). They also expose the failure modes that ODI corrects: asking the wrong customer, defining markets by product category instead of the job, averaging across heterogeneous segments, and pushing technology before validating unmet needs. Each case demonstrates that the methodology is the variable — the same companies, in the same markets, failed with conventional approaches and succeeded with ODI.
Good Examples
Microsoft Software Assurance — Facing declining renewals, Microsoft mapped two job executors (procurement managers with ~75 outcomes; IT professionals with 100+ outcomes) and discovered it was engaging customers in "one tiny piece of their job" (p. 126). The fix required minimal new code: existing internal tools were reassembled against underserved outcomes. Revenue beat its goal by 10%+ in the announcement year, before the revised product even shipped (p. 129). Lesson: innovation by integration, not invention.
Kroll Ontrack — In nascent electronic discovery, customers could not articulate desired features. ODI bypassed this by capturing ~100 desired outcomes for the job itself. Each quarter, outcome-targeted features compounded Kroll's lead, making it "very difficult for competitors to catch them" (p. 133). Revenue grew from $11M to $200M+ in roughly six years; named most-used provider for seven consecutive years (p. 134). Lesson: ODI works precisely where feature-request methods fail — new categories.
Arm & Hammer Animal Nutrition — Had sourced innovation input from nutritionist consultants (intermediaries) instead of dairy producers (job executors). ODI revealed 165+ desired outcomes; the core job was "optimizing herd productivity," and most high-opportunity outcomes were unrelated to nutritional ingredients (p. 137). Of 165 outcomes, zero matched standard industry ad claims (p. 141). Rewriting messaging alone — no reformulation, no price change — drove 30%+ revenue growth in one year (pp. 141-142). Lesson: wrong job executor yields wrong insights; messaging is often the highest-ROI fix.
Bosch CS20 Circular Saw — Aggregate data across ~270 tradesmen showed zero unmet needs. Outcome-Based Segmentation uncovered a 30%+ segment (finish/advanced carpenters) with 14 of ~85 outcomes unmet (p. 146). Design innovations like the DirectConnect cord system satisfied multiple outcomes simultaneously while reducing cost. Satisfaction in unmet-need areas rose from 63% to 87% — a ~38% improvement versus the typical sub-10% (p. 148). Both Lowe's and Home Depot requested a delayed release to build inventory; CS20 became a top-selling, top-rated saw and a Popular Science top-100 innovation (p. 149). Lesson: outcome-based segmentation recovers signal that aggregation destroys.
Abbott Medical Optics (AMO) — Stuck in "me too" service delivery. ODI applied to the job of replenishing ophthalmic lenses (~100 outcomes from ~200 materials managers) revealed that biggest opportunities were service-structure problems, not product problems: no single point of contact, repeated explanations to strangers (pp. 151-153). Fix: dedicated advocates and cross-functional pods. NPS rose ~10%, loyalty index +14 points within one year (p. 154). AMO also built inventory-management software — a back-office tool from a device vendor — creating differentiation outside the conventional competitive frame. Lesson: ODI surfaces organizational flaws, not just product gaps.
Hussmann EcoShine (LED Lighting) — Spent four years pushing LED technology with minimal results. ODI expanded research to three job executors — shoppers (1,500), store merchandisers (200), executive merchandisers (50) — capturing 300+ outcomes (p. 156). Eight underserved lighting outcomes directed incremental platform modifications that matched table stakes while winning on overlooked dimensions. Market share went from a fraction of a digit to double digits in one year; revenue from thousands to tens of millions (p. 159). Costs dropped because focus eliminated features customers did not value. Lesson: multi-audience research unlocks opportunities competitors never see; focus is a cost strategy.
Counterpoints
Technology-push without outcome validation. Hussmann's four-year LED push anchored to market trends rather than customer needs produced minimal volume. "We were tied to technologies... We weren't tied to needs of the customer" (p. 155).
Wrong job executor produces wrong insights. Arm & Hammer's seven-year product development — "arguably best-in-market" — launched to poor results because inputs came from intermediaries, not executors: "We didn't ask the right people the right questions" (p. 140).
Aggregation destroys signal. Bosch's full-market survey showed zero unmet needs. Only outcome-based segmentation revealed the 14-outcome gap in 30%+ of users (p. 146).
Solution-centric market definition. Kroll's incumbent competitors defined themselves as "paper document processing companies" rather than discovery providers. Every one was displaced: "The leaders today — none of them were players in the old paper discovery business" (pp. 133-134).
Key Quotes
"We really did not write that many new lines of code... it was about looking at the job in its flowchart, looking at software assets that we already had, and then piecing them together as solutions to each part of the job." — Dave Wascha, Microsoft (pp. 127-128)
"The electronic discovery market was so new that if you asked clients what features they wanted, they didn't know what you were talking about." — Ben Allen, Kroll Ontrack (p. 130)
"Of the 165 outcomes that the dairy producer mentioned, not one of them identified any of those key points that you see in almost every one of the ads." — Druker, Arm & Hammer (p. 141)
"Over time we had confused sales prioritization with real customer market segmentation." — Druker, Arm & Hammer (p. 138)
"Satisfying all of these outcomes at the same time is what made this a true innovation." — Bosch CS20 case (p. 147)
"Before, we had a first-in, first-out approach to customer service. A customer had no relationship with the person who happened to answer the phone." — Rago, AMO (pp. 152-153)
"We made incremental changes to an existing platform in all the right areas, based on how customers measure value. We hit all the key outcomes at the right level without raising costs. In fact, we reduced costs dramatically because we were so focused on just changing the things that mattered." — Rohrer, Hussmann (p. 159)
"It's not trivial to do. I've come to appreciate that it's not an easy exercise, but once you have gone through it, it's so obvious — and powerful." — Druker, Arm & Hammer (p. 144)
Rules of Thumb
- Ask the job executor, not the intermediary. Inputs from consultants, brokers, or channel partners reflect their job, not the end user's.
- Existing assets often satisfy newly discovered gaps. Before building anything, map current products and tools against the Opportunity Landscape.
- Messaging before engineering. If products already address underserved outcomes but marketing speaks a different language, rewriting messaging is the highest-ROI move.
- Segment before concluding "no opportunity." Aggregate data routinely shows zero unmet needs; outcome-based segmentation recovers the signal.
- Expand who you study. Multi-executor research (multiple stakeholder roles) consistently reveals opportunities single-audience research misses.
- Each outcome-targeted feature should address multiple gaps. The test for "true innovation" is whether a single design change satisfies several underserved outcomes simultaneously.
- ODI outputs serve beyond R&D. The same dataset powers messaging, sales enablement, channel sell-in, M&A screening, and organizational redesign.
Related References
- The 10-Step ODI Process — The end-to-end process these cases follow
- The Opportunity Algorithm & Opportunity Landscape — The scoring formula applied in every case
- Market Strategy & Product Strategy — Strategy selection that precedes case execution