How I learned to love AI prompts as a PM

View profile for Palak Lalchandani

Product Intern @Utkarsh Classes (JV with PW) | Aspiring Product Manager | Ex-Magicpin | B.Com (Hons.) | Product Enthusiast | Life Long-Learner |

🤔 Confession: I used to think AI prompting was just fancy ChatGPT tricks Then I realised I was spending 3 hours writing PRDs that AI could help me draft in 30 minutes. As PMs, we're drowning in documentation, analysis, and stakeholder updates. Meanwhile, 78% of companies are already using AI to streamline these exact workflows. 💡 Here's what changed my perspective: Before: "Write me a feature spec" After: "Draft a PRD for mobile checkout optimisation targeting frustrated cart abandoners, considering our 2-week sprint constraints and iOS-first approach" The difference? Specificity wins every time. 🎯 My Go-To Prompt Structure: What you need (the task) Who it's for (the context) How it should sound (references/style) Test the output (evaluate) Refine until it's right (iterate) 🚨 The Reality Check: Yes, 93% of companies are rushing to adopt AI. But here's the kicker — 95% of AI pilots fail because teams treat it like magic instead of a tool that needs skill. 💭 What I've learned the hard way: ✅ AI is great for: First drafts, data synthesis, brainstorming variations ❌ AI struggles with: Strategic decisions, user empathy, stakeholder politics The sweet spot? Using prompts to handle the grunt work so we can focus on the problems only humans can solve. 🔥 Real talk for my fellow PMs: How are you actually using AI day-to-day? Not the LinkedIn-perfect version, the messy, trial-and-error reality? I'm curious about: • Your biggest AI wins (and fails) • Prompts that actually save you time • Where do you draw the line between AI help and human insight Let's get real about what's working and what isn't. Drop a comment with your most useful (or hilariously bad) AI prompt attempt! 👇

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