Quadrant Shifting
The Verification Quadrant is not destiny. Capital investments can move tasks to better positions. These are the five moves that change where a task sits on the grid.
Drag the before-dot to reposition the task. Pick a shift below to see where it moves.
The Grid
Select an investment type below to see how it shifts tasks on the quadrant.
The Five Moves
The Capital Allocation Frame
Each of these five moves is a capital investment. The same questions you would ask about buying a machine apply here:
The Decision Sequence
These tools form a workflow:
When to Use This
Use when
- +A task sits in a hard quadrant and you are willing to spend capital to move it
- +You can estimate the cost of reducing calculation or verification difficulty
- +Task volume is large enough to pay back the shift investment
- +You are choosing between making the task easier vs trying harder at it
Skip when
- -The task is already in the sweet spot - no shift is needed
- -Shift cost exceeds the NPV of the shifted task (run Automation NPV first)
- -The difficulty is intrinsic (adversarial input, ambiguous ground truth)
- -You have not yet diagnosed the quadrant (use Verification Quadrant first)
Rosetta Stone
Four circles, four readings of the same object. Each role reads the artifact through its own lens.
CapEx for OpEx leverage. Spend once on a verifier or a constraint; the task moves to a cell where automation has positive NPV forever after.
The move where you invest in tooling so next quarter's version of the same decision is cheaper. Makes the work easier to scale without growing headcount.
Building the test infrastructure, the constraint language, the decomposition, the rubric. Each move shifts a stubborn task into a cell you can actually automate.
A structural intervention on the cost function. Instead of optimizing over the existing quadrant, you change which quadrant the task occupies - a change of measure in cost-space.
See also
Which bets to make. Capital allocation, M&A due diligence, portfolio construction.
How to execute at scale. Multi-brand portfolio, turnarounds, P&L ownership.
Builds it, ships it, owns it. Solo full-stack, DevOps, production systems.
Proves it, models it, publishes it. Mathematical modeling, Bayesian frameworks.
Quadrant Shifting