Applying Jobs-to-be-Done (JTBD) Framework to Tech Product Discovery

Blog Author
Siddharth
Published
16 May, 2025
Applying Jobs-to-be-Done Framework to Tech Product Discovery

When building technology products, understanding user needs goes beyond personas or demographics. The Jobs-to-be-Done (JTBD) framework offers a sharp lens to analyze what users are trying to achieve—and how your product fits into that mission. Instead of focusing on what users look like, JTBD helps you understand why users “hire” a product and under what circumstances they abandon it for something better.

This approach is especially powerful during the product discovery phase, where decisions can influence months of development and market positioning. Whether you're developing a new SaaS platform, refining a mobile app, or prioritizing features for a B2B tool, JTBD helps connect the dots between user motivations and product outcomes.

What Is the Jobs-to-be-Done (JTBD) Framework?

JTBD is a framework that shifts focus from customer attributes to the task they want to accomplish. As Tony Ulwick, a leading voice on JTBD, puts it: “People buy products and services to get a job done.” That “job” may be functional (like uploading a file securely), emotional (feeling organized), or social (impressing a team).

For example, someone doesn’t buy a project management tool just for the features. They hire it to “coordinate my team without wasting time in back-and-forth meetings.” The tool they choose must deliver on that job better than alternatives, including spreadsheets or even Slack threads.

Why JTBD Works in Tech Product Discovery

Product discovery is about identifying what to build and why. JTBD fits naturally into this phase because it forces teams to dig beneath the surface of feature requests and usage data. You learn:

  • What problem a user wants to solve
  • The context in which the problem appears
  • What “success” looks like from the user’s perspective

By applying JTBD, teams can avoid building features that solve the wrong problems or miss the mark entirely. For example, instead of asking “Should we build a dashboard?” the JTBD approach asks, “What job is the user trying to get done when they ask for a dashboard?”

Steps to Apply JTBD in Product Discovery

1. Conduct Job-Centric Interviews

Start with qualitative interviews. Don’t just ask about preferences—uncover the chain of events that led someone to seek your product or a similar solution. Look for stories where a product was “hired” or “fired.”

Use open-ended questions like:

  • What made you start looking for a new tool?
  • What were you using before?
  • What was frustrating about that solution?
  • What would a great outcome have looked like?

This helps capture both functional and emotional jobs. For instance, a product manager might say, “I wanted to make sure we didn’t miss deadlines again.” That reveals both a scheduling job and an emotional desire for confidence.

2. Identify Core Jobs and Job Statements

Group interview insights into clear job statements. These should follow a structure like:

“When [situation], I want to [motivation], so I can [desired outcome].”

For example:

  • “When I start a sprint, I want to break down epics into user stories, so I can give my team clarity on scope.”
  • “When a stakeholder asks for a report, I want to export project progress easily, so I can update them without wasting time.”

This phrasing makes it easier to align product ideas to real-world needs.

3. Prioritize Jobs Based on Frequency and Friction

Not every job is equally important. Focus on jobs that are:

  • Frequently encountered
  • Hard to complete with existing solutions
  • Valuable enough that users would switch for a better tool

By focusing on high-friction, high-impact jobs, you increase your product’s relevance and stickiness. This prioritization is particularly important in PMP certification training, where understanding project risk, scope, and stakeholder goals can make or break delivery timelines.

4. Map Jobs to Product Capabilities

Once you’ve identified top-priority jobs, map them to existing product capabilities and new ideas. You might discover that:

  • A current feature isn’t supporting a job as well as it could
  • There’s an opportunity to build something new for a key job
  • Multiple jobs could be served with a single, well-designed solution

This helps streamline the product roadmap with purpose. For those involved in SAFe POPM certification, this mapping step mirrors the practice of aligning capabilities to customer value in Program Increment planning.

5. Validate with Real Users

Don’t rely only on theory. Run experiments to validate whether your interpretation of the job resonates with users. Prototype, test messaging, or launch a lightweight feature to check adoption. If a job is critical, users will gravitate toward the solution quickly.

Use this feedback to refine your understanding. JTBD is not a one-time activity—it’s a continuous process that adapts as the market evolves.

JTBD in Action: Practical Use Cases

Example 1: SaaS Time Tracking Tool

Job: “When managing multiple client projects, I want to log hours accurately, so I can invoice with confidence.”

Discovery led to features like auto-tracking, reminders, and a client-specific view. These matched the emotional job of removing doubt during invoicing—not just logging hours.

Example 2: Team Collaboration App

Job: “When running remote standups, I want to capture updates quickly, so the team doesn’t lose momentum.”

This insight pushed the product team to introduce voice notes and asynchronous updates, reducing meeting fatigue while keeping momentum intact.

JTBD vs. User Personas

While personas define *who* a user is, JTBD reveals *why* they act. They complement each other but serve different roles. Personas help with branding and marketing. JTBD directs product strategy and feature development.

For example, two different personas—an engineering lead and a freelance marketer—might “hire” the same tool to organize daily tasks. The job unifies their intent, even if their demographics and roles vary.

How JTBD Improves Product Outcomes

  • Stronger user-product fit: You design based on actual needs, not assumptions
  • Clearer roadmap prioritization: You know what matters most to users
  • Better cross-functional alignment: Product, design, and engineering rally around solving a real job
  • More effective messaging: Marketing can speak directly to the job users are trying to get done

These benefits extend into product management methodologies like Project Management Professional certification, where clear requirement gathering and stakeholder alignment are crucial for successful delivery.

Recommended Tools and Resources

Final Thoughts

Applying the JTBD framework during product discovery helps avoid the trap of building for features instead of outcomes. It pushes product teams to uncover what truly matters to users and to design experiences that are hired again and again for the right reasons.

Whether you're pursuing SAFe POPM training or PMP certification, integrating JTBD thinking gives you a stronger foundation for building products users don’t just try—but rely on.

 

Also read - Developing Platform Products with API-First Strategy

Also see - Working with Engineering Teams on Technical Debt Roadmapping

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