naming-management 
Alchemer Mobile
OCTOBER 13, 2020
It sacrifices the knowledge of what drives brand affinity for the simplicity of data collection and management. Even asking a question as simple as, “Do you remember seeing an ad from [advertiser name]?” When a brand combines individual customer data points to calculate such averages, it sacrifices the individuality of each customer.
The Product Coalition
OCTOBER 15, 2020
Product Management | Websites Best practices checklist from a Fortune 10 product manager Remember this version of yahoo? For example, when you provide textual equivalents for images and name links meaningfully, it helps blind users using text-to-speech software. Remember how funny the early web was?
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Johanna Rothman
OCTOBER 15, 2020
Which levers does your team need to manage risk in your project? An agile approach requires a change in culture at the team level, at the portfolio level, and in management. We mostly demonstrated to management and other internal people. There are other iterative and incremental lifecycles that don't have names, either.
Gainsight
OCTOBER 14, 2020
Welcome to Day 1 of Pulse for Product, our inaugural event geared towards those in product management roles. However, the skills needed to ‘level up’ for product managers are a bit more elusive as PMs often receive varying feedback from customers, sales, customer success, engineering, etc. Yes, you read that right. KEYNOTE TAKEAWAYS.
Speaker: William Haas Evans - Principal Consultant, Head of Product Strategy & Design Practice, Kuroshio Consulting
From a product discovery/product management perspective, the purpose of experimentation is to focus our efforts on invalidating our assumptions to reduce the risk of developing and going-to-market with the wrong product. The purpose and value of experimentation (from a scientific and product perspective) is to produce new information.
Intercom, Inc.
OCTOBER 13, 2020
ML products also require us to manage relatively large technology risks – this is an area where, unlike in most other product development, technical limitations might render the entire design impossible. We can’t assume the ML will always perfectly do what we want. Key takeaways. But building machine learning products is always risky.
The Product Coalition
OCTOBER 12, 2020
Agile and Its Proximity to Micromanagement On the one side, we are getting increasingly better at understanding what management styles create value in the era of the knowledge economy, uncertainty, and complexity. Hands-on Agile #28: If You Use Scrum, Don’t Miss this One! Read more on this aspect in “ Why Engineers Despise Agile ”.)
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