Microsoft2014–202602
Microsoft: How Satya Nadella Linked Culture and Strategic Renewal
What changes first: strategy, or the culture that must execute it? Microsoft's renewal suggests that the question is often a false choice.
RA LAB / LEADERSHIP DECISIONS
Why Leaders Win, Fail and Transform
Decisions that changed companies. We examine the evidence and turn the lessons into experiments for Retail, B2B and Service.
All cases ↓Independent editorial analysis of public sources. Facts, interpretations and hypotheses are distinguished. These are not our project results or claims of affiliation.
01
When Leaders Fail
Signals, constraints and the cost of a delayed decision.
02Leaders Who Transform
How strategy, culture and revenue models change together.
03Growth Systems
Recurring value, customer journeys and hypothesis testing.
04Human × AI
AI efficiency, quality and human accountability.
Start with this decision / NOKIA
Nokia: when the basis of competition changes
How competition shifts from a strong device to a platform. Explore Nokia’s decisions and turn the lesson into a testable business hypothesis.
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Select two cases to compare their decisions
Cases found: 2 / 8
Klarna2024–202606
Klarna: Measuring AI Efficiency Without Losing Human Service
The useful question is not whether AI can replace people, but which requests it can resolve well at a lower complete cost while preserving trust and access to human help. Klarna's public figures must be read as company statements with defined periods and channels, rather than a universal staffing formula.
Decision comparison
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INSIGHT → ACTION
What are you trying to solve?
Move from a company story to a practical route for your business.
SalesLeads arrive, but deals do not close quickly →RetentionCustomers buy once and do not return →Technology transitionWhat is holding business growth back →AI valueHow to choose an AI pilot with measurable value →CostsSales are growing, but profit is not →New business modelHow to enter a market with a clear offer →
Case → insight → constraint → hypothesis → experiment → outcome
How we connect diagnosis to an experiment ↗