The modern SaaS team is often drowning in data but starving for insight. Despite having access to endless analytics and user recordings, between 70% and 95% of all new products still fail. This systemic failure occurs because teams rely on “what” users are doing—surface-level “petals” of behavior—while ignoring the “roots” of causality that drive a customer to switch solutions. To build a predictably successful product, your SaaS needs more than a roadmap; it needs a Job Inventory: a structured, stable system of record for human progress.
The Crisis of “Fuzzy” Feedback
The most intimidating point of building a product is standing on the abyss of the unknown, where you see everything and nothing at the same time. Most founders try to bridge this gap by asking customers what they want, but this is a trap. Customers can tell you about their struggles, but they cannot tell you what to do about them. They don’t understand systems thinking, engineering costs, or the long-term implications of their own desires.
Furthermore, traditional feedback—like “the UI is confusing”—is often a “garbage question” that yields “garbage data”. Advanced Jobs-to-be-Done (AJTBD) solves this by defining a Need not as a feature request, but as a Desired Outcome: a specific metric customers use to measure success when executing a job.
Building Your Job Inventory: 50 to 150 Metrics
A core functional job—the stable, solution-agnostic reason your market exists—is not a single task; it is a transformation process. To innovate with precision, you must deconstruct this process into a Job Inventory of 50 to 150 desired outcome statements.
These statements must follow a strict syntax to remain stable over time: [Direction] + [Metric] + [Object of Control] + [Context]. For example: “Minimize the time it takes to summarize conference insights for sharing with colleagues”. While technologies (solutions) are fluid and change rapidly, these underlying metrics of value remain stable for decades.
The Universal Job Map: Diagnostic Architecture
Managing this inventory requires a structural framework. AJTBD utilizes the Universal Job Map, which deconstructs any functional goal into eight predictable stages: Define, Locate, Prepare, Confirm, Execute, Monitor, Modify, and Conclude.
Most SaaS products suffer from “solution myopia,” focusing only on the “Execute” step. However, true disruption often happens in the “logistical” stages (Product Jobs), such as automating the preparation of data or simplifying acquisition. If your software can “murder” a step—meaning the customer no longer has to perform it at all—you provide a ten-fold improvement in energy efficiency.
The Causal Amplifier: Connecting Function to Identity
A specialized research SaaS doesn’t just store these jobs in a list; it maps their Cross-Level Connections. The JTBD Pyramid reveals that human motivation is layered:
- Product Jobs (Level 1): Practical, hands-on tasks.
- Core Jobs (Level 2): The functional goal independent of any tool.
- Role Identity Jobs (Level 3): Who I am trying to be (e.g., “I am a creator”).
- Image Identity Jobs (Level 4): How I want to be seen.
- Emotional Jobs (Level 5): How I want to feel in the moment.
Using a Causal Amplifier Map, teams can see how solving a mundane setup issue (Level 1) “amplifies” the user’s confidence (Level 5) and reinforces their self-image as a “resourceful professional” (Level 4). When a product supports identity and affirmations, it becomes a “character in the customer’s story,” driving devotion rather than just functional loyalty.
Strategic Focus: Selecting Your Innovation Profile
Not all jobs are created equal. To avoid the “feature treadmill,” your SaaS must adopt a clear Innovation Profile—a strategic posture based on which level of the Pyramid is currently most underserved:
- Product Innovation: Focus on Level 1 to remove friction and lower churn.
- Core Innovation: Focus on Level 2 to achieve the functional outcome more effectively.
- Identity Empowerment: Focus on Levels 3 and 4 to help users express their professional or personal identity.
By prioritizing High-Leverage Jobs—those that create ripple effects across the entire Pyramid—your team can make confident, data-backed decisions that lead to an 86% success rate, five times better than the industry average.
Success is not a numbers game of ideas; it is a game of knowing which metrics your customers are using to measure progress. By architecting your research as a System of Record for Progress, you move from building bloated software to building a vital partner in your customer’s journey of becoming.