 Framework - Arfadia.jpg "What is Job-to-be-Done Framework? Complete Guide - Arfadia")
Have you ever wondered why McDonald's is most efficient at selling milkshakes between 6:30 AM and 8:00 AM? Or why 86% of new products flop after tons of market research? Here is the thing, in the same vein of "job" is understanding what "job" customers are hiring the products for. We as digital marketers have found that traditional approaches based on demographics, features and market sectors do not capture the real narrative of a customer making a decision.
Here at Arfadia, we are able to witness the JTBD framework reshape the future of marketing. Instead of making assumptions about customers based on who they are, we help brands understand what customers are trying to do. This pivot away from demographic profiles to aspiration-seeking behavior has rewritten how we think about everything, from product innovation to campaign messaging. Bottom line, it works.
A foundational belief of JTBD is that people don't actually buy products, they hire them to solve a problem they need done. Harvard Business research indicates that between 75 to 85 percent of new products don't succeed because they don't address a real job customers need to get done. It is a mind-blowing failure rate, one that costs businesses billions of dollars every year.
This methodology was being introduced in 1990 when Tony Ulwick introduced the application of Six Sigma to innovation. His firm, Strategyn's comprehensive framework has more than an 86% success rate with Fortune 500 companies, a rate that's completely reversed from the average results of new innovation. The model went mass market when Clayton Christensen made it the subject of his work at Harvard, which forever altered how businesses consider customer needs.
What separates JTBD is a focus on the three dimensions of every job. There's the functional part first of all, what is there to be done? The second is the emotional dimension, which represents the way customers would like to feel. A third aspect is the social one, how do others perceive them. Businesses that comprehend all three dimensions devise solutions that register on more than one level.
Speaking of which, let's get real as to why this is so important for digital marketers right now.
The framework is comprised of a series of integrated elements to uncover motivations of customers. Essentially, JTBD understands that jobs don't change, products do. Consider communication, the occupation of "staying in touch with distant loved ones" has been around for millenniums. The solutions advanced from letters to telegrams to phones to video calls, but the underlying job never changed.
The ultimate measure is progress in JTBD thinking. Your market doesn't want your product; they want to make progress in their lives. This progress can be practical (moving from point A to B), psychological (feeling safe), or social (impressing colleagues). Knowing what kind of progress customers are looking for enables businesses to craft better solutions.
Context is unbelievably important in JTBD research. Indeed, the same person may have different roles in different conditions. A harried parent has different needs for a meal solution when it's Tuesday night than on a Sunday afternoon. In detecting these contextual elements, we find jurisdictions that a demographic analysis would completely miss.
The system further includes the concept of "hiring" and "firing" products. Customers are explicitly adopting or opting for solutions when those best solve the job. If a product doesn't help the user make progress, the user "fires" the product and finds a replacement. This hiring and firing mentality ends up being more about job satisfaction than it does customer acquisition.
The interesting part is how this correlated with online marketing campaigns we've been handling at Arfadia.
The best-known JTBD case study is about McDonald's milkshakes. However, despite crucial customer insights and tweaking the product based on feedback, milkshake sales did not improve. Then the researchers employed JTBD thinking and found something surprising.
There weren't any morning commuters out buying milkshakes for the good of their taste buds or nutritional needs. They brought in milkshakes to make their dreary, long commutes anything but while waiting to eat lunch. The thick texture kept the shake going the whole ride, and the narrow cup was a perfect fit for car cup holders. The competition was not other milkshakes, it was alongside bananas, bagels and protein bars.
A clear understanding of this position brought about corrective action. McDonald's may have made shakes thicker so they would last, included chunks for sip surprise or offered prepaid cards for faster breakfast morning pickups. The revelation wasn't about how to make a "better" milkshake, it was about how to do the job of the commute better.
Now offering solid benefits, Microsoft's licensing programs couldn't sell to save their life. Customers were not getting obvious value, and adoption was falling short of expectations. Conventional analysis called for adding features or lowering the price.
JTBD research showed that customers weren't simply in search of software updates. They were on the search for ways to help IT budgets to go further, reduce risk to the organization, and minimize disruptions during technology shifts. These underlying jobs explained why feature improvements had failed to move the needle.
Microsoft retooled the program to focus on these fundamental jobs. Rather than boasting how often they could update the site, they sang the praises of predictable budgets. Instead of touting features, they showed how to de-risk. This employment-first methodology changed the way programs performed and the way customers felt about them.
Project management software company Basecamp learned that customers rarely said the words "project management" in describing their problems. They came to a realization that, based on JTBD customer interviews, customers were actually trying to reduce communication chaos, get their teams on the same page, and have transparency into how work was progressing through their lanes.
This insight revolutionized their approach. Marketing messages transitioned from lists of features to emotional results. Feature creep was diminished in product development because we based things on jobs that really mattered. Basecamp's growth trajectory demonstrates how those who put in the effort to really get customer jobs on a macro level, sets themselves up for better positioning and growth.
The problem with the classic innovation model is that it's based on a guess of what customers want. Tony Ulwick's innovation process based on JTBD is 86% successful, a rate that is five times the industry average. That represents a fivefold increase in the return on innovation.
We've witnessed this progression again and again with our Arfadia clients. When brands give up guessing and start understanding real customer jobs, the innovation is predictable, not lucky. There is no need to think about what to build because product teams know exactly what to build. When they're done, they understand what the progress customers desire would look like.
The financial impact is staggering. Missed products cost industries billions in development, advertising and opportunity costs. Using JTBD to increase success rates, companies reallocate resources from their failures to their winners, and grow and make profit faster. And here's the kicker, most companies don't realize just how much cash they're leaving on the table.
General marketing speaks to nobody and resonates with no one. JTBD rewrites messages by exposing the actual progress customers are looking for. Rather than making simple feature lists, we tell brand stories about how they empower customer success.
Consider how Uber's messaging evolved. Its early marketing featured a "push a button, get a ride" message that was entirely feature-centric. As they learned more about the jobs, messaging switched to facilitating progress: "Get there. Your day belongs to you." This job-focused messaging resonates with the freedom and control customers really desire.
And the performance of our campaigns suggests that JTBD-based messaging is particularly effective. Click-through rates increase 40-60% when ads focus on specific jobs, rather than generic benefits. Conversion rates often double as prospects immediately see themselves in the message.
Make sense? So why does this work so well?
Competition along these features is a race to the bottom. They add more features and more complexity, and customers get confused. JTBD ends this riddle by showing up opportunities that are missed at all by competition.
The market for circular saws appeared to be saturated when Bosch wanted to enter it. Power, blade size and cutting capacity were points of emphasis for each entry. Bosch's market research revealed what kinds of work carpenters were actually doing that could be simplified and made safer, ensuring cut precision on job sites, preserving an investment in tools, and reflecting professionalism in front of clients.
By serving these underserved jobs, Bosch achieved differentiation without radical innovation. Their CS20 circular saw won the day not on better features, but on better work getting done. This type of differentiation is sustainable because it is based on real customer requirements, not on the features of some product.
Conventional segmentation is based on demographics (age, income, education) or firmographics (company size, geography, industry). On the surface, a professional living in the city might look like one segment, but JTBD explains that they have different jobs at different times. On Monday morning, they need eating that is efficient. Friday night, they seek social dining. The same person, different jobs, different solutions.
Job-based clustering predicts behavior much better than other approaches. When we know someone is trying to "appear successful at a client meeting," we can predict they will buy premium-grade solutions no matter what their socioeconomic status is. This behavioral insight leads to surgical targeting and customisation.
Our data tells us that job-based segments are converting 3-4x better than demographic segments. Why? Because we are reaching people when they actually have a job to be done, not just because they fit a profile. Keep in mind this totally shifts how we should approach our timing campaigns.
Without JTBD, decision-making is left up to politics and opinions. The loudest or highest-paid person's opinion ends up winning out. JTBD presents a set of clear-cut standards for resource allocation in the form of the importance of a job and the discrepancies in the satisfaction of that job.
MIT research on design thinking reveals corporations that focus on job-based prioritization realize a 32% higher return on innovation investment. They understand which opportunities are most important to customers and can accurately size market potential.
We assist clients in building opportunity scoring models to measure the potential of each job. This is what makes discussions of the budget more than mere opinion; that changes it from a matter of subjectivity to one of determination. Resources get redirected to the most impactful opportunities, which ultimately speeds up growth and reduces waste.
Success starts with proper setup. The author suggests, lead from top down by showcasing the history of JTBD. Share industry specific case studies. Do the math on what would happen if you reduced innovation failure rates from 83% to 14%. Educate on the concrete and compelling business case.
Next, assemble a cross-functional team. These JTBD insights drive product, marketing, sales and customer success. And make sure people from each district sit at the table so the devil's in the details. We've found 6-8 person teams to work best, big enough for varied perspectives, small enough for quick decision-making.
Articulate your market based on the job, not on the way things have always been. If you are solving the "stay entertained during my commute" job, your market isn't just your product category. It's also podcasts, games, the radio and the music in people's pockets. This broader perspective shows competition and prospects.
Set specific research goals and benchmarks for success. Which decisions exactly will JTBD insights guide? How will you measure impact? Bring these expectations to the table so that you remain clear about what you are looking for throughout the process.
JTBD research is not your traditional market research! We're not saying, what features do you want, we're asking what progress people are trying to make. That calls for different methods and different questions.
Begin with a few so-called switch interviews, customers who recently moved to a different solution. These switches offer the clearest look at jobs since customers actively considered alternatives. Inquire how they reached from initial thought to final choice. What triggered the search? What alternatives did they consider? What do they select your solution for?
These conversations are all informed by the Forces of Progress framework. Four forces influence every job:
Record discoveries from interviews and observations in job stories, not user stories. To write them: "When [situation], I'm looking to [motivation], so I can [expected outcome]." The context, motivation, and success criteria are all present in this statement.
Map the customer journey through the Universal Job Map. All jobs cover the same stages: define, locate, prepare, confirm, execute, monitor, modify, conclude. Discovering where customers are pained exposes innovation opportunities.
Unprocessed interview data must be systematically verified to derive specific recommendations. Begin by listing all the results customers have talked about. What does success in each of the jobs even look like? Be concrete, "save time" is vague, but "do my monthly reporting in 2 hours or less" is actionable.
Quantitate importance and satisfaction for each outcome by survey. We use a basic scale: How big a deal is this result? How well are your needs being met? The difference between the relative importance ranking and satisfaction ranking is referred to as opportunity size.
Calculate opportunity scores as Importance + (Importance – Satisfaction). This reveals underserved results which are the largest opportunities. Focus on results that are above 12, these have most potential.
Customers in segments, according to which jobs they are trying to get done. Unlike population-based segments, job-based segments have unique needs and desires. Somebody whose mission is "minimize audit risk" is going to act very differently than somebody whose mission is "maximize team productivity," irrespective of how big or small the company is or what business it's in.
Turn concepts into strategy. Begin by analyzing the competitive landscape from a jobs perspective. Who else aids customers with these jobs? Direct competitors, indirect substitutes, workarounds, etc. You may find out that your real competition is not who you think.
Create a portfolio of strategic alternatives. With which of these underserved outcomes can we align? Where is the place that we can do a much better job on completion? We'll normally find 10-15 opportunities, prioritise them by market size, competitive advantage and synergies.
Develop a logical order for the order of your initiatives. Begin with some quick wins that prove the approach then move towards some big bets that are transformational. Every initiative should be explicit about what job it gets done and how you'll measure success.
Get your organization organized around jobs, rather than features. Update personas with jobs and outcomes. Change dev methodologies to be more completion, less features. Train sales professionals to talk jobs, not products. This organizational congruence turbocharges your JTBD.
The No. 1 mistake we see is framing jobs as solutions. "I need a faster computer" is not a job, it's a solution to an unspecified job like "execute data analysis without waiting" or "Wow clients with lightning fast slide generation." This confusion results in incremental innovation not breakthrough innovation.
Teach your staff to inquire further about solutions when customers talk about them. Ask "What differences do you want to make?" and "How to measure success?" These questions reveal true jobs. Practice turning solution statements into job statements until it rolls off the tongue.
We came up with a simple test: Are there multiple solutions to meet this requirement? If yes, you've found a job. If not, you're still in a solution-oriented mindset. Use this test religiously to minimize the solution bias.
Functional jobs are the simplest to spot so that's where teams usually stop. But many purchase decisions are driven by their emotional or social jobs, particularly in consumer markets. If you miss out on those dimensions, you're missing out on some big opportunities.
The functional job of a luxury car may be transportation, but the emotional job of "feeling successful" and social job of "impressing colleagues" explain the right to charge a premium price. Stanford business research shows that emotional jobs often matter more than functional jobs for differentiation.
Incorporate emotional and social job questions into all interviews. How do you want to feel? What do others think? These questions are uncomfortable at first, but they are incredibly illuminating. Emotional jobs, we've discovered, often reveal the reasons behind otherwise seemingly irrational customer behavior.
Job definition requires balance. "Be happy" is just too general to do anything with. "Cut a piece of 2x4 at a 45-degree angle" isn't a broad enough prompt to generate ingenuity. Good jobs lie somewhere in between.
Good jobs are narrow enough to direct effort, yet broad enough to take many forms. Check your job statements with this question: Could this job be done in ways that are substantially different? If not, narrow it. Could wildly varied products cover this job? If yes, specify it further.
We employ the "ladder of abstraction" approach. Begin with a customer statement and ask "why" to move up the ladder toward higher level jobs. Ask "how" to drill down toward possible solutions. The sweet spot is usually held 2-3 rungs from the initial statement.
JTBD insights are about depth, not width. A deep interview radiates more meaning than a hundred shallow surveys. But teams frequently skimp on research, cutting corners and ignoring important subtleties that separate the great from the duds.
The interviews should range 60-90 minutes and cover the end-to-end perspective from idea-to-job-done. This may seem like a lot compared with a typical 20-minute market research call, but depth is crucial. Customers are seldom explicit about jobs, its insight through careful interrogation and narrative recapitulation.
Expect to interview 15 to 20 for a major position. This gives a wide enough variance to detect patterns and yet avoids spurious patterns due to small sample sizes. Yes, this is a large investment of time, but wouldn't it suck spending time developing products 'cause you misread the market?
Qualitative interviews uncover jobs, but quantitative validation verifies market potential. This is something that teams often get wrong, focusing instead on the interview insights without necessarily realizing that the problems they'll solve are merely representative ones of broader markets. This assumption has niche solutions in mass market clothing.
Once you identify the jobs through interviews, survey larger populations to determine the prevalence of the job as well as the importance of the job outcome. We usually survey 200-400 users for a statistically significant result. This is called "validating" to avoid over-investing in jobs that sounded important to the internal team but affect few customers.
Quantitative validation also sizes opportunities. Besides, a job could be extremely important for customers but, if it is experienced by only 5% of them, there is much less market potential. On the other hand, a somewhat important job which affects 80% of customers is a bigger opportunity. Numbers matter for strategic decisions.
JTBD isn't a replacement for your existing tools, it just makes them more effective. Your CRM, analytics, automation, and personalization tools become even more effective when they're organized around jobs, not demographics. This is how we help clients infuse JTBD thinking across their marketing tech.
Start with your analytics setup. You can create custom events that capture job oriented behaviors. Go beyond measuring "page views" and "conversions" to measuring "job discovery moments" and "job completion indicators." This transition exposes the content and features that are actually going to move customers forward.
Google Analytics 4 makes in-depth job tracking possible. Create custom dimensions for job types, stages in progress, and accomplishment of result. This changes analytics from vanity metrics to progress metrics that forecast which customers are going to succeed.
Your marketing automation is surgical when jobs are leveraged. Rather than sticking with one-size-fits-all nurture tracks based on industry or role, consider job-specific journeys. A person attempting to "mitigate compliance risk" requires different content than someone looking to "shorten time to market," even if both are in similar roles.
Traditional CRM systems should include additional fields attached to job information. What work does this client have to do? What outcomes matter most? Are they happy with the solutions they're using now? This dynamic changes sales conversations from product presentations to collaborative partnerships.
Job data powered personalization engines are unequivocally successful. Our clients experience 3-4x higher engagement when content recommendations match to active jobs instead of historical activity. Prior purchases are reflective of past jobs rather than today's needs.
The JTBD framework is changing as more powerful technologies allow for more meaningful insights at a larger scale. According to Gartner's marketing research, 65% of businesses currently utilize generative AI in some aspect of their business, one of the major functions being that of customer insight generation.
Interview analysis gets a new twist with AI! Its natural language processing once helped senior staff identify patterns around jobs across hundreds of conversations in hours not weeks. Machine learning groups together similar jobs and outcomes, exposing segments that human analysts might miss. And we're observing about 10x speedup in research consumption with no loss of depth.
Proactive innovation through predictive modeling of job data. Through monitoring the trends of job evolvement, AI can forecast rising jobs before they reach the mainstream. This vision enables companies to deliver the solutions before the demand is clearly articulated and therefore gives them a real competitive edge.
Real time job identification using behavioral analytics is taking shape. Rather than episodic research studies, ongoing insights into what customers are doing focuses us on what jobs are changing and what new opportunities are emerging. It is this sense of context that keeps tactics pertinent in the midst of marketing that can, at times, seem to move fast.
Connect with voice of customer solutions to scale JTBD understanding. Job info is everywhere in customer interactions: in support tickets, reviews, social media. AI allows these signals to be extracted and synthesized into actionable insights and makes customer understanding universal across the organization.
The combination of JTBD thinking and AI capabilities hints at even more significant innovation. Picture personalization engines that predict jobs before customers put them into words. Or lean platforms that auto-populate solution ideas inspired by underserved outcomes. These are increasingly becoming viable options.
First insights happen in 4-6 weeks of launching customer research. We typically have the first quick wins, better messaging or a specific feature, released within 3 months. Complete transformation, both in terms of new product development and market repositioning, tends to require 6-12 months. But the duration depends on the extent of the organisation and its determination. Smaller, nimble teams tend to have shorter intervals to show progress, while larger companies are more beholden to the change management process.
Absolutely. B2B applications of JTBD can have even larger revelations because business purchases entail multiple people and jobs across them are different. B2B buying groups average 10-15 people, according to Forrester's B2B research. Each has functional jobs (making work easier), emotional jobs (making life safer) and social jobs (looking good to other ones). Comprehension of these diverse roles and activities explains complex B2B purchase behaviour better than traditional approaches.
The investment in quality JTBD research is significant, but well within reach of nearly any company. A small study involving one major job runs $25,000-50,000 (for customer interviews, analysis, and strategy development). Full research over several jobs can cost $100,000 to $250,000. Contrast this with the price of failed products, which can amount to millions in both development and marketing, and ROI is easy to see. We also have scaled approaches for smaller businesses, prioritizing the highest-impact job category first.
Success metrics should be mapped directly to business outcomes, though common metrics include innovation success rate (target = 50%+ vs. 17% industry average), customer satisfaction scores for completion of job, market share growth within job defined segments, and financial metrics such as revenue per customer and customer lifetime value. We assist clients in establishing baseline measurements prior to implementation and track progress quarterly. The most successful companies see 20-30% of key metrics change within just a year.
Don't ditch your existing assets, bring them to life with job insights. Conventional personas offer helpful context around customers, but by layering on jobs, you can make them actionable. Edit both personas to add: main jobs they need to do, how they measure success (results) and situation that triggers the job. This improvement changes the static profiles into dynamic behavior predictors. Alternatively, job-based segments can also be overlaid on existing segmentation to enhance targeting.
Customers are lucky if they ever actually say jobs directly, which is why specific interview techniques are important. In place of "What job are you trying to do?" explore their journey through storytelling. "Tell me about the last time you looked for a solution like ours" uncovers jobs through stories. Focus on points of friction, toggling between solutions and hacks they have created. These are cues about on-the-job performance that are far more reliable than asking directly.
JTBD is really good at surfacing radical new innovation opportunities. Jobs prescind solutions, people stayed in touch before there were phones, saved memories before the camera, and made their way without the aid of GPS. For new categories, zero in on the advancement people desire but have been unable to attain. What workarounds do they use? What work do they leave unfinished? Tesla's master plan identified the job to be done "drive without environmental guilt" before electric cars became mainstream. The work was there; the tool was not.
The JTBD Framework is a new way to view and encounter your customers. When businesses understand the progress that people are trying to make rather than simply the products they use, they open hidden opportunities for innovation that are not revealed by traditional market research. The evidence is abundant, JTBD companies are 5x better at successful innovation while developing stronger customer relationships.
At Arfadia, we've been incorporating JTBD thinking throughout our digital marketing services. From search optimization targeting job-based searches to content that focuses on specific customer results, this framework revolutionizes marketing effectiveness. We take clients past demographic conjecture to understand their customers' real motivations.
Starting your JTBD journey doesn't require massive investment or organizational upheaval. Start with just one important customer segment and one crucial job. Utilize the interviewing strategies and evaluation approaches described here. Try out job-focused messaging in a single campaign. Generate evidence for wider roll-out from small wins.
The companies winning today get that sustainable advantage emanates from better serving a customer's jobs than alternatives can, not from features or tech alone. In a competitive market where customers are becoming more discerning, this insight is key. Businesses that embrace JTBD thinking will own the future, those who continue to hold on to demographics and feature wars will have an increasingly difficult time staying relevant.
Are you ready to change the way you know your customers? The future belongs to companies that solve jobs not build products.
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