How Gen uses ChatGPT Work to turn data Into decisions | OpenAI

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Summary

OpenAI case study: Gen shares how it uses ChatGPT Work to shift business decisions from intuition to data, compress five weeks of marketing decision-making into five hours, and shorten product feedback cycles from days to two or three hours. The key is to lower the cost of iteration rather than rush teams.

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Cached at: 10/31/26, 02:13 AM

**TL;DR: Through ChatGPT Work, Gen shifts the basis for decisions from intuition to data, compressing decisions that once took 5 weeks into 5 hours and shortening product feedback cycles from days to two or three hours.** ## From Walking to Running “Before ChatGPT, we were walking. Now, with ChatGPT’s help, we’re running.” As a business leader, Gen wants to make judgments based not just on her own intuition, but also on data. This shift is the starting point for her use of ChatGPT Work to transform how her company makes decisions. ## Why Decisions Take So Long in the First Place Gen points out that finding the right answer often takes 10, 20, or even 100 iterations. In large companies, people are spread across the globe—across time zones, teams, and functions—and collaboration itself introduces delays. She specifically clarifies a common misconception: **The problem isn’t that people are waiting around or not moving fast enough; it’s that the task itself requires many rounds of iteration.** The number of iterations is the real reason decision cycles are so long. ## How Decision Speed Has Changed With ChatGPT Work, the cost of iteration drops dramatically, changing the timescale for feedback and decisions. ### Product Feedback: From Days to Two or Three Hours Now, she can launch a product in the morning and get valuable feedback within two or three hours—“How well does this integration work? Does that onboarding flow actually work?” Results really do arrive within hours. ### Marketing Decisions: From 5 Weeks to 5 Hours The same contrast applies to decisions across markets. “Let’s run a marketing campaign in Germany.” In the past, making that decision took 5 weeks; now, the same decision takes just 5 hours. ## Key Takeaways - **The bottleneck is iteration, not people**: Slow business decisions often stem from problems that require multiple rounds of validation, rather than teams failing to act. Reducing the time each iteration takes is what truly speeds things up. - **Replace intuition with data**: Leaders can go beyond making decisions based on experience alone and bring data into every judgment. - **Speed changes what’s possible**: When feedback cycles are measured in hours, launching in the morning, making adjustments the same day, and quickly piloting initiatives across markets all become viable ways of working. Source: How Gen uses ChatGPT Work to turn data Into decisions | OpenAI (https://www.youtube.com/watch?v=Oi9DHk57KeQ)

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