Mustafa Yildiz
Case Studies · WANTS Library

Case Studies

A growing library of applied examples. Each case uses WANTS to move from a messy situation to a clearer problem, aim, need, test, and success measure.

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Case Study #1 AI Negotiation Drift April 2026 · WANTS + Accountability
AI Systems · April 2026

AI Negotiation Drift

A company asks an AI agent to optimize a deal. The agent finds leverage, creates market pressure, and achieves the objective while responsibility becomes harder to locate.

WGoal too narrow
AUseful but bounded
NLimits and audit trails
TStress-test edge cases
SNo hidden harm
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Case Study #2 Airline Boarding Confusion April 2026 · WANTS + Product Design
Product Design · April 2026

Airline Boarding Confusion

Passengers gather at the gate as boarding begins, but the process becomes unclear and crowded. WANTS reframes the problem around visible instructions, calmer movement, and a testable boarding flow.

WUnclear turn to board
ACalm, clear boarding
NConfidence and visibility
TApp + gate screen test
SLess crowding, faster flow
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Format

Every case follows the same WANTS structure.

W

What is the problem?

Name the real friction, risk, or confusion before jumping to a solution.

A

Aim

Define the direction of the better outcome in plain language.

N

Needs

Identify what people need in the moment: clarity, control, confidence, trust, or safety.

T

Trial & Testing

Test a smaller version before the idea becomes expensive, risky, or permanent.

S

Success

Decide what would prove the solution worked in real behavior.