Product Collective - 🔢 The best metrics for your product

What metrics are best for your product?

Selecting the right product metrics. Executives want financial outcomes, strategists want systemic impact, managers want team accountability, teams want credit for executing work, planners want to track progress, ops wants to know that systems are stable. They’re all correct, so how do we select metrics that satisfy everyone? Jason Cohen describes a novel system for selecting and presenting product KPIs, satisfying not only the product team but also stakeholders, executives, and customers. (via Jason Cohen

A guide to product metrics and KPIs. Choosing the right metrics and analysis methods to track them can make the difference between delivering an OK product and delivering a great product. Sara Nguyen discusses product metrics, their benefits, and how teams can use product metrics data to measure the success and health of their product. (via LogRocket

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What if your leader isn't on board with Discovery?

Recently, I had the opportunity to join a small group video chat with a group of Product Managers and Product Leaders in collaboration with the team at Gigantic (who we work with to offer our Product Collective training services). I was asked to talk a bit about Customer Development and Discovery, as it’s one of the modules I lead as an instructor for one of our courses. One of the group members brought up a challenge they’re facing with Discovery, though. Their leadership isn’t bought in. So… now what?

As product people, sometimes take Customer Discovery for granted. Of course, it’s an essential part of what we do. But what if the leadership in your organization doesn’t see its value? We talked through a few ideas:

  1. Educate with Empathy: Begin by understanding their concerns. Are they worried about time, resources, or ROI? Address these concerns by illustrating how Discovery can save costs in the long run by avoiding pitfalls and misguided efforts.
  2. Showcase Success Stories: Highlight instances, either within your organization or from industry leaders, where a strong Discovery phase led to successful products. Real-world examples can be so powerful.
  3. Quantify the Risks of Skipping: Whether it's the costs of late-stage changes, customer dissatisfaction, or failed product launches, use data and metrics to make your case.
  4. Engage Them in the Process: Involve leadership in some Discovery activities. When they witness firsthand the insights garnered, they're more likely to become advocates.

If leadership is skeptical about the value of Discovery, then face that challenge head-on. Using a mix of data, real-world examples, and pilot projects can turn skeptics into champions, ensuring that your products are built on a foundation of genuine user insights and needs. The one thing you don’t want to do is give in and just ignore Discovery. That… usually doesn’t end well.

There’s now a little order in the AI wild west, maybe. The Biden administration released an executive order to put some governance around the development and use of AI in the United States. The executive order has injected certainty into a chaotic year of debate about the legal guardrails needed for powerful AI systems.

Passwords are so 2022. Amazon announced they are rolling out passkey support on browsers and mobile shopping apps, offering customers an easier and safer way to sign in to their Amazon accounts. Customers can now set up passkeys in their Amazon settings, allowing them to use the same face, fingerprint, or PIN used to unlock their device. Given how influential Amazon is, it’ll be interesting to see how many other products follow suit.

Slack doesn’t find X as valuable either. In order to make room for new improvements and provide the best user experience, Slack will occasionally retire a feature from the product. Most of the time it will provide a few months notice, unless you’re talking about the Twitter app. In that case, Slack announced the retirement one day before the app was retired. The reason for the retirement “upstream API limitations”. You can read into that however you wish… 

Who says Americans aren’t agreeable? A recent report from the Pew Research Center covering Americans’ views on data privacy found that 56% of Americans click “agree” before reading online privacy policies. You may find it interesting that 61% of Americans think those policies are ineffective at explaining how companies use people’s data. So does that mean we’re inclined to agree with things we don’t think will work? Something to ponder if you’re inclined to put large blocks of text in your app.

Product Managers’ guide for selecting the right product metrics framework. What’s a product metrics framework? What are its best-known examples? And how to choose one? Team Userpilot answers those questions and explains how to implement product metrics frameworks. (via Userpilot

5 Metrics every Product Manager should know. Product metrics, sometimes called key performance indicators, are quantifiable data points that an organization tracks and analyzes to gauge a product’s success. They measure everything from user behavior to market performance. It’s important to note that not all product metrics are created equal. In fact, some are more valuable than others.The folks at ProductPlan describe 5 metrics that every product manager should track. (via ProductPlan

Are you tracking the right product metrics? It’s a product manager’s job to define the right metrics and KPIs for their products and businesses. There are several pieces to the metrics puzzle, but it’s difficult to put the pieces together. Eira Hayward gathered together some expert opinion and cautionary tales to help you find what you need to look out for when dealing with product metrics and stop it all from going wrong. (via Mind the Product

Check out the latest Product Management training courses, brought to you by Product Collective, powered by Gigantic!

GROWTH DESIGN

The 4-week Growth Design course, led by Joel Van Bodegraven, comprises four comprehensive modules covering growth design essentials, user psychology, and behavioral tactics. Students will engage in activities such as behavior mapping, A/B testing, and creating growth experiments, complemented by case studies and live mentor sessions. The course aims to equip attendees with the skills to foster growth mindset teams, apply ethical design strategies, and make informed decisions. Secure a spot on our waiting list now to access a special enrollment discount!
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AI FOR PRODUCT MANAGEMENT

Our 4-week AI for Product Management course, led by Rami Alhamad and John Haggerty, provides comprehensive training on applying AI in product management. The curriculum includes lectures, live mentor sessions, practical projects, and case studies, preparing product managers to use AI for product development, market analysis, and decision-making. Sign up for our waiting list to receive a special discount upon enrollment!
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