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What is Point of Performance Thinking?

Point of Performance is the exact moment and location where an action needs to happen for it to succeed. It's not about the system as a whole — it's about the precise point where someone needs to make a decision, take an action, or receive information.

The goal: Remove all friction between the thought and the result. Make excellence easy. Every case study below starts by identifying that exact point.

UX + Behavior Design

Cartma — Turning a $800M Problem Into a Behavior Design Solution

What if shopping cart loss isn't a theft problem — it's a design problem?
The Problem

Retailers lose over $800M a year to shopping cart loss. The industry response has been punishment-based: wheel locks, deposits, threatening signs. But nobody stopped to ask why people are taking them in the first place.

The Behavioral Insight

Cart loss isn't one behavior — it's three distinct behaviors from three types of people, each requiring a different design response:

  • The Walker — Needs the cart to get groceries home. No car. This is a transportation problem, not a theft problem.
  • The Forgetter — Left the cart in the parking lot or nearby. Low effort to return, just needs a nudge.
  • The Passive Leaver — Doesn't think about it at all. Cart just... ends up somewhere. Zero malice.
The Solution: Cartma

A gamified return system that replaces punishment with design. The app creates different return pathways for each behavior type — unlocking rewards, community credit, and walker-specific checkout flows. The point of performance isn't the parking lot. It's the moment someone decides whether returning the cart is worth their time.

  • Human behavior mapping for each user type
  • Full app UX with unlock, rewards, and walker checkout flows
  • Brand identity system built from scratch
  • Point of Performance thinking applied to retail
Operations + Systems

DoorDash / McDonald's Bottleneck

When the drive-thru becomes a parking lot, everyone loses.
The Problem

When McDonald's gets slammed with orders, the drive-thru backs up. DoorDash drivers idle in line. Customers inside wait longer. The bottleneck cascades — one slow point breaks the entire system.

The Point of Performance

The bottleneck isn't the kitchen — it's the single-channel pickup. Every person (drive-thru customer, DoorDash driver, walk-in) is competing for the same window. The fix needs to happen at the pickup point, not the order point.

The Solution

External pickup window + app notification system. DoorDash drivers don't sit in the drive-thru line. They park, get notified when the order is ready, walk to a dedicated window, grab and go. It fixes the exact point where the bottleneck happens — separating delivery traffic from customer traffic.

Hiring + Behavior Design

The "Moneyball" Hiring Process

The standard interview process is a broken filter that screens out high-value neurodivergent talent.
The Problem

The standard corporate interview process screens out high-value neurodivergent talent by prioritizing social camouflage — like eye contact and small talk — over actual technical ability and output. This broken filter costs companies thousands in turnover and leaves specialized talent on the table.

The Insight

Treat hiring like the Oakland A's treated baseball in Moneyball. You don't need a perfectly rounded employee who networks well at the water cooler; you need a specialist who delivers massive output. Neurodivergent individuals often possess deep hyper-focus and pattern-recognition skills, but the standard corporate environment actively works against them.

The Solution

A behavior-first hiring and retention model. Redesign the interview into a skills-based, pressure-free audition rather than a social interrogation. Eliminate the sensory friction in the workspace so the employee can actually perform. The Point of Performance isn't the handshake in the lobby — it's the environment where the actual work happens.

Operations + Urban Design

The Venue Rideshare Trap

When a concert lets out, the pickup zone becomes a 45-minute nightmare. The bottleneck isn't traffic — it's matching.
The Problem

Every time a concert or game ends at a major venue, the rideshare pickup zone turns into a gridlocked nightmare. Drivers are trapped in a single lane of traffic, passengers are wandering around looking for license plates in the dark, and a process that should take two minutes takes forty-five. It's a completely broken loop that frustrates the driver, the passenger, and city traffic control.

The Insight

City planners and venue organizers design pickup zones for cars, but the actual bottleneck is matching. When you dump thousands of people into a single geofenced lot, the app's GPS gets confused, and drivers get matched with passengers who are physically at the other end of the line. The point of performance isn't just giving cars a place to park — it's streamlining the exact moment a specific passenger finds a specific car.

The Solution

A behavior-first staging system. Instead of random matching in a chaotic lot, implement a queue system similar to airport taxi lines but modernized for rideshare. Drivers stage in a holding lot and pull up to numbered stalls. Passengers walk to the corresponding stall number when their app pings. You remove the friction of the "hunt" and turn a 45-minute cluster into a continuous, flowing conveyor belt.