Figuring out metrics ownership 📊, Monetizing AI features 💸, Leading by following ⏩, Setting roadmap expectations 🎯, and a new product framework 🧐
Weekly Roundup 10 🔁
👋 Hey, Sam here! Welcome back to the 🔁 Weekly Roundup edition 🔁 of The Product Trench. Each week, I curate deep dives, trends and resources related to product management and leadership.
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Happy Sunday everyone! 😎
Sorry this post is a bit late. My toddler went on nap strike so my writing plans got pushed to later this afternoon.
Fun update… I am changing a few things with how and when I post, starting with the Weekly Recap moving to Sundays and now called Weekly Roundup—at least until I find a better name. 🙃 More on that over the upcoming few weeks.
With that said, let's jump straight into it.
Here are my favourite articles this week.
How to figure out metrics ownership (5 min read)
Metrics ownership can be complex, involving multiple teams and objectives. The Own-Share-Shed framework helps define responsibility for metrics. Ownership types are determined by questions about existing ownership, necessary resources, and team objectives. Metrics can be fully owned, shared, or shed, depending on their current and ideal states. The process involves:
Mapping out input metrics.
Assessing ownership.
Transitioning to the ideal state through clear communication and collaboration.
How should you monetize your AI features? (8 min read)
AI monetization strategies include direct methods (charging for AI features or increasing product prices) and indirect methods (integrating AI features into existing bundles without altering prices). Most companies bundle AI features into current packages, often increasing prices or adding usage-based pricing. Direct monetization, preferred by many, offers cleaner adoption data and better ROI understanding. Companies should consider AI's value and costs, customer willingness to pay, and competitive landscape when deciding on a monetization strategy.
Leading by following (3 min read)
Leadership isn't just about steering the team but also knowing when to follow. Product managers can enhance their skills by giving constructive feedback, supporting decisions, and proactively offering help. Embrace the role of a follower to improve leadership skills and team outcomes.
Roadmaps tend to set the wrong expectations with leadership (2 min read)
Roadmaps often mislead leadership by implying immediate impact post-shipment, overlooking adoption delays. Effective uptake requires thorough go-to-market strategies, with product marketers collaborating closely throughout the delivery cycle. Introducing uptake buffers and phased launches with metric gates can align expectations more realistically.
Assumption prioritization canvas (4 min read)
The Assumption Prioritization Canvas is a framework designed to help product teams identify, categorize, and prioritize their assumptions to focus on what matters most. It aids in clarifying which assumptions are critical and uncertain and thus needs validation. The process involves listing all assumptions, plotting them based on their impact and uncertainty, and deciding which to test first. This structured approach ensures resources are allocated efficiently, reducing the risk of product failure due to overlooked critical assumptions.
👋 That's it for this week’s edition. Thank you for reading, and enjoy your week. See you next time.
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I had missed some of these articles in my feed. Thank you for the shout out!