AI prompts for McKinsey‑style work
What happened
A viral social thread published a set of 10 AI prompts designed to reproduce McKinsey‑style outputs — from SWOTs and growth levers to 30‑60‑90 plans — pitched as low‑cost practice tools for case prep and basic analysis. (x.com) The thread is gaining traction among candidates and junior consultants as a quick way to generate structured frameworks and test commercial hypotheses. (x.com)
Why it matters
Andrew Bolis posted a thread on X that packages a ready-made set of 10 AI prompts intended to generate McKinsey‑style outputs — structured analyses, slide decks, and short implementation plans — and the thread has been copied into public prompt libraries. (x.com) (llmbase.ai) Those prompt templates have been reposted and turned into sharable files and how‑to posts on prompt repositories and creator platforms, and the same prompt set shows up in short‑form social clips and slide‑generation walkthroughs. (prompts.chat) (tiktok.com) (substack.com) A “prompt” here means a written instruction you paste into a large language model (an AI chat tool) telling it what to produce; the thread’s prompts ask the model to output familiar consulting artifacts such as a SWOT (a short list of Strengths, Weaknesses, Opportunities and Threats), growth levers (specific ways to increase revenue or efficiency), and a 30‑60‑90 plan (a simple stepwise action plan for the next 30, 60 and 90 days). (llrx.com) (prompts.chat) The templates are formatted as role‑play and output instructions — for example, several versions tell the model to “act as a McKinsey senior partner” (a prompt that sets tone and rigor) and to produce a slide deck or prioritized roadmap; many include placeholders like [insert_data] so the prompt expects the user to supply company‑specific information rather than rely on the model to invent facts. (godofprompt.beehiiv.com) (prompts.chat) Evidence of spread: the same “RIP McKinsey” prompt set appears across multiple prompt libraries and unrolled threads that repurpose the content as reproducible “mega‑prompts,” and public examples demonstrate automatic slide generation (e.g., requests to output a 10–12 slide SWOT deck with a 30‑day action list). (llmbase.ai) (threadreaderapp.com) (substack.com) The published templates’ structure — role instruction, explicit deliverable format, and data placeholders — explains why candidates and junior consultants are adopting them for quick framework drafts and mock case outputs: the prompts convert a problem statement into a reproducible set of deliverables (SWOTs, competitor matrices, short roadmaps) when fed with real company data. (prompts.chat)
Key numbers
- A viral social thread published a set of 10 AI prompts designed to reproduce McKinsey‑style outputs — from SWOTs and growth levers to 30‑60‑90 plans — pitched as low‑cost practice tools for case prep and basic analysis.
What happens next
- Andrew Bolis posted a thread on X that packages a ready-made set of 10 AI prompts intended to generate McKinsey‑style outputs — structured analyses, slide decks, and short implementation plans — and the thread has been copied into public prompt libraries.
- (prompts.chat) A viral social thread published a set of 10 AI prompts designed to reproduce McKinsey‑style outputs — from SWOTs and growth levers to 30‑60‑90 plans — pitched as low‑cost practice tools for case prep and basic analysis.
Quick answers
What happened in AI prompts for McKinsey‑style work?
A viral social thread published a set of 10 AI prompts designed to reproduce McKinsey‑style outputs — from SWOTs and growth levers to 30‑60‑90 plans — pitched as low‑cost practice tools for case prep and basic analysis. (x.com) The thread is gaining traction among candidates and junior consultants as a quick way to generate structured frameworks and test commercial hypotheses. (x.com)
Why does AI prompts for McKinsey‑style work matter?
Andrew Bolis posted a thread on X that packages a ready-made set of 10 AI prompts intended to generate McKinsey‑style outputs — structured analyses, slide decks, and short implementation plans — and the thread has been copied into public prompt libraries. (x.com) (llmbase.ai) Those prompt templates have been reposted and turned into sharable files and how‑to posts on prompt repositories and creator platforms, and the same prompt set shows up in short‑form social clips and slide‑generation walkthroughs. (prompts.chat) (tiktok.com) (substack.com) A “prompt” here means a written instruction you paste into a large language model (an AI chat tool) telling it what to produce; the thread’s prompts ask the model to output familiar consulting artifacts such as a SWOT (a short list of Strengths, Weaknesses, Opportunities and Threats), growth levers (specific ways to increase revenue or efficiency), and a 30‑60‑90 plan (a simple stepwise action plan for the next 30, 60 and 90 days). (llrx.com) (prompts.chat) The templates are formatted as role‑play and output instructions — for example, several versions tell the model to “act as a McKinsey senior partner” (a prompt that sets tone and rigor) and to produce a slide deck or prioritized roadmap; many include placeholders like [insert_data] so the prompt expects the user to supply company‑specific information rather than rely on the model to invent facts. (godofprompt.beehiiv.com) (prompts.chat) Evidence of spread: the same “RIP McKinsey” prompt set appears across multiple prompt libraries and unrolled threads that repurpose the content as reproducible “mega‑prompts,” and public examples demonstrate automatic slide generation (e.g., requests to output a 10–12 slide SWOT deck with a 30‑day action list). (llmbase.ai) (threadreaderapp.com) (substack.com) The published templates’ structure — role instruction, explicit deliverable format, and data placeholders — explains why candidates and junior consultants are adopting them for quick framework drafts and mock case outputs: the prompts convert a problem statement into a reproducible set of deliverables (SWOTs, competitor matrices, short roadmaps) when fed with real company data. (prompts.chat)
