Generative AI is transforming product management, or so we’re told by AI companies and influencers. The vision appears to be all about output: The PM producing roadmaps, backlogs, PRDs, user stories, and prototypes faster than ever before. Some companies are accepting these claims as truth and pressuring their PMs to use AI, but in my […]
AI and Product Management: Becoming More Evidence-Guided Read More »
It’s no secret that product management is often a misunderstood and misused role. Many companies restrict PMs to narrow, stereotypical jobs, hindering their potential impact. Without strong role models, some PMs fall victim to these product management myths and perpetuate them to new hires. Here are six wrong ways to think about the product managers,
6 Product Manager Stereotypes To Avoid Read More »
Observing tech companies you may notice a broad, disturbing phenomenon: everyone’s hard at work “selling” their product ideas — stakeholders and engineers are selling to product managers, product managers are selling to management, and management is selling to everyone (just listen attentively in the next all-hands meeting). As a product manager I too had to
Don’t Let Hype Run Your Product Read More »
Recently the product sphere had boiled-over over Airbnb removing product managers from product teams and converting them into product marketing managers. The Airbnb transformation may be a one-of (essentially an attempt to adopt the centralist Steve Jobs / Apple model), but the story and the discussion that followed surfaced an age-old debate: who should rule
Who Should Rule the Product? Read More »
Idea prioritization exercises are often hard and unsatisfying. The discussions run long and the decisions feel suboptimal. Using numeric methods like ICE or RICE adds more process, but not necessarily more clarity, as the numbers feel “made up”. I’ve written in the past about how to make better use of ICE, but I have to
Why You’re Struggling to Prioritize Read More »
This is an excerpt from my book, Evidence-Guided: Creating High Impact Products in the Face of Uncertainty. While the chapter references the GIST Model (Goals, Ideas, Steps, Tasks), the methods described can be used broadly. Switching to an evidence-guided mode of work is rarely easy. The people developing the product and influencing it have to
Adopting Evidence-Guided Development in Your Org Read More »
The latest wave of GenML tools is truly remarkable. I believe all creative work is going to be impacted, including product management. But in what way? One answer is already on offer. In recent months Twitter and LinkedIn have been flooded with “definitive” lists of ChatGPT prompts designed to produce product artifacts: Objectives and Key
On GenML, Artifacts, and Product Management Read More »
NPS has gained a status of one-metric-that-matters that it likely doesn’t deserve. Here’s some of the untold story of NPS.
Net Promoter Score – Helpful or Harmful? (part 1) Read More »
Experimentation is becoming more commonplace, but this positive development is often hampered by a common problem. I see company after company testing product ideas with users and customers, collecting the results, but then failing to take meaningful action — no parking of ideas or pivoting. I call this the Build-Measure-LooksGood! loop. Why is this happening?
The Build-Measure-LooksGood Loop Read More »
There’s a popular notion that we should copy the playbooks of the most successful tech companies, aka Big Tech. The most obvious sources of inspiration are the FAANG companies: Facebook, Apple, Amazon, Netflix, and Google. So you may be told to Work Backwards like Amazon, use OKRs and 20% projects like Google, or organize according to
How To Learn From FAANG Read More »