You’ve built the “ultimate dashboard.” It centralizes data from five different sources, automates the most tedious part of the reporting cycle, and has a sleek UI that makes the legacy competition look like a Windows 95 relic. You’re certain it’s a “10x product.”
But here is the background anxiety: Your active usage is a flat line. Users sign up, they click around, and then they retreat to their messy Slack threads and haphazard Excel sheets. You’re left staring at the analytics, wondering why they prefer a “broken” process over your “perfect” solution.
The problem isn’t your features. The problem is the Energy Debt you are asking them to take on.
The Diagnosis: The High Price of “Progress”
Builders often view their product as a gift to the customer. But in Advanced JTBD, we view a product as an investment of the user’s limited energy.
Every product has two distinct layers of work:
- Level 2: The Core Job. The actual transformation (e.g., “Get an accurate quarterly forecast”).
- Level 1: The Product Jobs. The logistical “taxes” required to reach that transformation (e.g., “Clean the CSV,” “Map the API fields,” “Invite the team”).
If the “Energy Cost” of your Product Jobs—the setup, the maintenance, the clicking—exceeds the brain’s predicted benefit of the Core Job, the user will “fire” you immediately. They aren’t rejecting your value; they are rejecting the “Transaction Cost” of getting to it.
The 9x Effect of Inertia
Why do they go back to the “Same Old” spreadsheet? Because the spreadsheet has Zero Transaction Cost.
This is the math of the 9x Effect:
- Users overvalue what they have by 3x because it is “known energy.” They already know which cells are broken and how to fix them.
- Builders overvalue their innovation by 3x because they see the 10x result, but ignore the 10x effort required to get there.
If your onboarding feels like “homework,” you are asking the customer to take on a massive energy debt before they’ve seen a single cent of ROI.
Reframing: Value is Job Deletion
To move from uncertainty to traction, you must stop asking “What else can our tool do?” and start asking “What can our tool kill?”.
The most disruptive products don’t just “add capability.” They collapse the Job Graph. They take a sequence of ten steps and eliminate seven of them. When a user expects a task to be exhausting but finds it unexpectedly effortless, the brain experiences a Positive Prediction Error. That dopamine hit is what creates “stickiness,” not a long list of features.
To find these opportunities, audit your product for Tax Jobs:
- Meaningless Steps: Any click that adds zero insight (e.g., “Confirm,” “OK,” “Download to re-upload”).
- Upstream Prerequisites: What is the user doing before they open your app? If they are manually formatting data just to make your tool work, your tool is failing.
- Context Shifting: If they have to leave your app to find a piece of information, you’ve just increased their energy debt.
Moving to Clarity
Building on intuition leads to “Swiss Army knife” bloat—a product that can do everything but requires too much energy to do anything.
The alternative is modeling your market based on the mechanics of Energy Efficiency. When you understand the Struggling Moment, you stop building “work” and start building “progress.” You identify the high-leverage friction points where a small design change kills a massive “Tax Job.”
BHAG AI operationalizes this by using AI + Advanced JTBD to model your market’s Job Graphs in hours. We help you identify the specific “Tax Jobs” that are acting as silent competitors, giving you the clarity to build a product that is not just “better,” but easier to hire.
Stop building for utility. Start building for energy efficiency.