Christensen's core argument: the way most companies segment markets is structurally flawed. Demographic and product-category segmentation describe correlates of purchase behavior, not causes. They answer "who buys" but not "why they buy." The result: innovation that improves features no one cares about and missed competition from outside the product category.
A job is the fundamental problem a customer needs to resolve in a given situation. The situation — not the person's demographics — is what triggers the need. Three things define a job:
Before diagnosing why segmentation fails, understand the standard toolkit. These approaches are well-established — the problem isn't that they're used; it's that they answer the wrong question.
| Failure Mode | What Goes Wrong | JTBD Fix |
|---|---|---|
| Product or "selling" orientation | Segments defined by what you want to sell, not what customers need done | Define segments by the job, not the product category |
| Overemphasizes the easily observable | Age and income are measurable — but the Tuesday morning commuter behaves differently than the Friday family shopper, same demographics | Focus on circumstances, not characteristics |
| Letting descriptions define the segment | Stereotyping: "Barry" (Best Buy) assumes all 50+ affluent professionals behave the same | Observe what different customers actually do with the product |
| Too little emphasis on actual behavior and needs | Psychographic and identity-based segments over-index on who customers think they are vs. what they actually do | Study revealed behavior, not declared preferences |
| Undue absorption in technical segmentation | Sophisticated cluster analysis on attributes that don't predict purchase behavior | Segment by job — what problem groups of people face |
When customers "hire" a product, they're not just solving a practical problem. The full job includes how they want to feel about the decision and how it positions them in relation to others. Missing the social and emotional dimensions is how brands lose the job even when they win on specs.
The practical task the customer needs accomplished. Observable, measurable, and usually what companies optimize for.
Milkshake: Stave off hunger from 7am to noon; keep one hand free; consume in 20 minutes.
Farm Boy: Get high-quality, fresh food for tonight's dinner. Also: get prepared food that competes with cooking or restaurants.
How the customer wants to feel during or after the purchase — the internal emotional state the product creates or resolves.
Milkshake: Feel slightly less bored during a monotonous commute. The unpredictability of the fruit chunks is a minor emotional feature.
Farm Boy: Feel good about what you're feeding your family. Enjoy the shopping experience rather than dread it. Feel like you made a quality choice.
Christensen et al. (2016) identify three operational strategies for surfacing jobs that no current product serves well — and translating them into product opportunity.
Look for combinations of goals for which no good solution exists. Ask:
Farm Boy example: The non-consumer was the person who shops at farmers' markets on weekends but has no high-quality daily option. Farm Boy identified this job and built a store for it.
Key is working out what desires consumers want to simultaneously satisfy with a single product. Identify coherent clusters of desires — groups of goals that hang together because they serve a single higher-order goal.
iPhone example: Combined the phone, music player, and internet browser jobs that consumers were satisfying with three separate devices. One solution, three combined jobs.
Look for segments within existing categories based on goals that certain consumers particularly value. First identify central product category goals, then consider other relevant goals.
Milkshake example: Morning commute milkshake vs. afternoon parent-child treat milkshake — same product, completely different jobs, requiring different design responses.
A fast-food chain wanted to improve milkshake sales. Their first approach: classic Inside-Out market research.
Defined market as "milkshake buyers." Profiled them demographically. Invited them to focus groups. Asked: should the shake be thicker? More chocolaty? Cheaper? Clear feedback → product improvements → zero impact on sales. Why? They were optimizing the product for the wrong job.
One researcher spent a day in the restaurant observing: when each milkshake was bought, with what else, alone or in groups, consumed on premises or taken away.
Finding: 40% of milkshakes were purchased before 9am. Solo customers. Nothing else purchased. Consumed in the car during the commute.
He then interviewed them: "What job were you trying to get done when you bought this?"
Dry without cream cheese; cream cheese = sticky fingers + gooey steering wheel. Messy.
Consumed in 2 minutes. Doesn't solve the hour-long commute problem. 10am hunger hits anyway.
Gone in 90 seconds. Boring. No texture variation. Doesn't last the commute.
20 minutes to finish through a thin straw. Hands stay clean. Staves off hunger until noon.
| Improvement | Why It Serves the Job | Focus Group Would Have Said |
|---|---|---|
| Make the shake thicker | Takes longer to consume → extends commute engagement. The job is the commute, not a snack. | "Make it chunkier / more indulgent" — same direction, wrong reason |
| Swirl in fruit chunks | Unpredictable texture adds micro-moments of interest to a monotonous drive. Not for health. | "Make it healthier" — wrong reason for the same feature |
| Move dispensing machine to front of counter | Commuters are in a hurry. Remove friction from the job. Gas up and go. | Would not appear in product-focused research at all |
| Prepaid swipe card | Remove payment friction entirely. The commuter context makes speed a feature. | Would not appear in product-focused research at all |
Job-to-be-done insights cannot be extracted from databases, surveys, or demographic reports. They require watching, participating, writing, and thinking — methods that put the researcher inside the customer's lived experience.
Observe actual purchase behavior in context — when, where, with what else, alone or in groups. Don't ask; observe. Behavior reveals the job; stated preferences reveal the rationalization.
Embed researchers in the customer's context. Hill-Rom deployed researchers as hospital orderlies to understand what nurses actually did — that's how they found the non-nursing tasks that drove bed design.
Not "what do you want from this product?" but "what job were you trying to get done when you bought this?" The circumstance-driven question — not the preference question — unlocks the job.
Once the job is defined, ask: what else could a customer hire to do this job? This expands the competitive set beyond product categories and reveals the real alternatives you're competing against.
In 2003, Best Buy implemented a much-lauded (and derided) segmentation strategy. It's a useful diagnostic for where traditional segmentation goes right and where it fails the JTBD test.
50+, affluent professional. Wants latest technology and full service. Not price sensitive. Expects respect and trust. Wife is a key influencer.
Active 18–30 male tech enthusiast. Likes technology for entertainment. Limited price sensitivity. Early adopter mentality.
30–50, married family man (policemen, firemen, teachers). Limited budget. Practical adopter of technology and entertainment to improve family life.
Affluent suburban mom of kids under 18. CEO of the household. Wants to enrich children's lives. Wants practical experience and respect.
Best Buy for Business — small business owner. Needs customized product recommendations and service to keep technology running.
These are demographic + psychographic archetypes. They describe who the customer is — not what job they're trying to do when they walk into Best Buy on a Tuesday afternoon.
Farm Boy is an Ontario-based specialty food retailer (45 stores as of 2022, acquired by Empire/Sobeys for $800M in 2018). Their entire strategy — store design, product mix, service model, pricing — is built around a specific customer job that the big grocers are not designed to do.
| Company | Sales (billions) | Farm Boy's Relationship |
|---|---|---|
| Loblaw Companies Limited | $31.7B | Not Farm Boy's primary competitor — different job |
| Empire Company Limited | $25.8B | Farm Boy's owner as of 2018 — "do not ruin the magic" |
| Metro Inc. | $12.9B | Not Farm Boy's primary competitor |
| Costco | $10.6B | Opposite model — bulk, efficiency, club membership |
| Walmart | $9.4B | "You can buy that at Walmart" — York explicitly differentiates away |
Access fresh, high-quality produce, meat, and prepared food that's actually fresh (short shelf life). Get tonight's dinner — either as ingredients or ready-to-heat. Don't compromise quality for convenience.
York: "We don't want shelf life on our products. Bread should last two to three days." Daily shopping model — the European cadence, not Costco bulk-buy.
Feel good about what you're putting in your family's bodies. Experience the store as a food destination, not a chore. The 10m salad bar, coffee bar, made-to-order food — creates an experience that feels like a market or food hall, not a supermarket.
"We make the product on the shelves perfect for the customer." Large, well-maintained produce with multiple staff visibly stocking and helping. Functional signal (freshness) and emotional signal (they care).
"You can buy that at Walmart." The deliberate absence of non-food categories reinforces the "food specialist" identity — Farm Boy does one job and does it perfectly, rather than being everything to everyone.
The center aisles feature boutique and local offerings (Holy Crap cereal vs. Kellogg's). This removes the "comparing price to Loblaw" frame entirely — you can't comparison shop on brands that don't exist elsewhere.
Farm Boy competes directly with restaurants. York: "Taking market share from restaurants is easier than competing with low-margin retailers." The prepared food section means the customer's job can be "get dinner ready" — not "buy groceries to cook."
"We only hire people who come into work with a smile and look people in the eye." In an industry racing to self-checkout, Farm Boy maintains human service as a differentiator. Supports the emotional job: feel like a valued customer, not a transaction.
100+ Ontario vendors. Black River cheese, Seed to Sausage, Wilton cheese. This serves the social job directly: buying here makes me part of the local food movement. Invisible to national chain competitors who optimize SKU count and supply chain efficiency.
Lead any Farm Boy question with the competitive set reframe: "Farm Boy wins by choosing a different competitive set — they're not competing with Loblaw on grocery economics; they're competing with restaurants and farmers markets on a 'feel-good food experience' job." Sharper than "they differentiate on quality."
Class will likely say "Farm Boy does quality and freshness." Push further: the job has three dimensions — the social job (conscious consumer identity) and emotional job (enjoy shopping, feel good about choices) are equally important to the functional quality one. Most grocery premium plays fail because they win only the functional dimension.
The Empire acquisition paradox: the same features that make Farm Boy worth $800M (culture, local sourcing, short shelf-life model) are the hardest to preserve at Sobeys scale. Ask the class: what's the minimum viable Farm Boy identity that Empire must protect? What could they change without killing the job?
The milkshake research protocol is the product discovery methodology: observe behavior (usage data), ask job-oriented questions (user interviews about the situation, not the feature), identify all job candidates (competitive analysis beyond obvious comp set). This is exactly what PM teams do — framed differently.
Farm Boy's "daily shopping, short shelf life" model mirrors informal market shopping behavior in many African cities — buying fresh each day from market vendors rather than stockpiling from supermarkets. This isn't just a Western trend; it's a reversion to a global pattern that large Western grocers disrupted. Worth noting if the class discusses the "European model" York references.
The car-as-mobile-office case is a direct Owo analog: institutional investors use Bloomberg terminals because "that's what you use." But the underlying job is "make confident investment decisions and defend them to stakeholders." Owo can own that job — if it designs for the job rather than competing on terminal features.
Session 1 established the orientation (start with the customer's world). Session 2 gives you the method: JTBD is how you operationalize Outside-In. Asking JTBD questions about RIM's customers would have revealed the "digital life everywhere" job shift years before iPhone.
JTBD reveals the job. Design Thinking gives you the creative process for solving it. The "Empathize" stage of DT is essentially JTBD research — observing customers in context, asking job-oriented questions. Session 2 is the diagnosis; Session 3 is the solution process.
JTBD will almost certainly be a required framework. Structure: (1) What job is the customer trying to do? (2) All three dimensions. (3) What is the real competitive set? (4) How well does the company's offering serve that job vs. alternatives? (5) What would a job-aligned strategy look like?
The Journey Analysis requires mapping a real customer journey. The JTBD frame is essential: what job triggers the journey? What are the functional, social, and emotional stakes? At what points does the customer consider hiring an alternative? The Owo research-to-action journey has a clear "make a confident investment decision" job.
JTBD connects directly to price. When you serve the job better than any alternative (milkshake's 20-minute commute advantage), customers pay a premium. Farm Boy commands 30-40% price premiums vs. Loblaw because the job — including social and emotional dimensions — is served better. Premium pricing = serving the whole job.
CDJ (Session 4) maps how customers discover and evaluate job candidates. The adoption lifecycle (Sessions 5–6) is about whether a new offering serves the job well enough for different customer segments. JTBD is the foundation: you can't map a decision journey without knowing what decision (job) the customer is actually making.