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deepmind.google·6d ago
AI Engineering
OpenAI Blog·Apr 10·5 min read
ChatGPT for managers
TL;DR
Managers often struggle to prepare conversations, write constructive feedback, and maintain team organization efficiently. OpenAI demonstrated how ChatGPT—a large language model that generates human-like text—can assist with these tasks by drafting talking points, feedback templates, and meeting agendas.
✦ Why It Matters
Engineers can apply similar LLM-assisted workflows to code review preparation, documentation drafting, and technical communication tasks.
Key Takeaways
- Use ChatGPT to draft meeting agendas and talking points before one-on-ones.
- Prompt ChatGPT to generate structured feedback templates for consistency across teams.
- Leverage AI to reduce administrative overhead and focus on strategic management.
- Validate AI-generated content before use; treat it as a draft, not final output.
Full Summary
Managers face recurring challenges in preparing for one-on-one conversations, articulating performance feedback clearly, and staying organized across multiple team responsibilities. ChatGPT, a generative AI model trained on diverse text data, was applied to managerial workflows by prompting it to draft conversation outlines, structured feedback frameworks, and organizational tools.
The approach involved managers using natural language prompts to request assistance with specific scenarios—such as preparing difficult conversations or writing constructive criticism. Results included faster preparation cycles, more consistent feedback language across teams, and reduced time spent on administrative organization.
Implications suggest that large language models can augment human decision-making in people management without replacing judgment, enabling managers to focus on relationship-building and strategic thinking rather than drafting and formatting.