O'Reilly Media - Ideas
FEBRUARY 26, 2021
A couple of years ago, Pete Skomoroch, Roger Magoulas, and I talked about the problems of being a product manager for an AI product. These articles show you how to minimize your risk at every stage of the project, from initial planning through to post-deployment monitoring and testing. Product Management for AI.
TechCrunch
OCTOBER 26, 2021
While software development frameworks make developing software faster and easier than ever, pre-deployment testing gets more and more complex by the day. Over the past decade, Testlio has grown exponentially and positioned itself as an “Elance for Software Testing.” million in seed and Series A capital. ”
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O'Reilly Media - Ideas
MAY 14, 2020
In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products.
TechCrunch
FEBRUARY 25, 2021
The company lets you run user tests at scale so that you can get feedback before rolling out a design update or test copy. When you have a lot of users, you don’t want to roll out some changes before testing it first. Some companies run A/B tests on a small portion of users and gather feedback with custom forms and polls.
Speaker: Janelle Estes, CIO, User Testing
The impact on businesses cannot be understated, and product managers have felt the brunt of it. So how do you adapt your product development process knowing that your customer's behaviors and expectations have completely changed over the past year? We are living in unprecedented times that have changed the way we live and work.
CIO
NOVEMBER 15, 2022
As a result, product managers (PMs) have more opportunities and are more important than ever. The traditional answer is that a product manager is the chief executive of their product. We cite focus groups and usage reports and case studies and A/B tests and card sorting. pet peeves.
O'Reilly Media - Ideas
OCTOBER 13, 2020
The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. One area that has received less attention is the role of an AI product manager after the product is deployed.
Speaker: Holly Hester-Reilly, Founder and Product Management Coach, H2R Product Science
Experimentation allows product managers to make decisions based on data rather than mere intuition. But too many teams don't know what to test, which leads to poorly designed experiments and unclear results. How can a product manager be certain they’re making effective decisions when it comes to experimentation?
Speaker: Michael Cardy - Red Hat Chief Strategist, Jason Tanner - CEO of Applied Frameworks, and Mike Mace - VP of Market Strategy at UserTesting
Companies have accomplished this through usability testing and real-time qualitative feedback from customers. However, most businesses struggle with formidable user testing and feedback processes. Empowering product managers to drive decisions. Multi-channel experiences and product growth. Increasing profitability.
Speaker: Sonia Singhal, Product Manager at eBay
These days, a simple A/B test can seem to incorporate the whole alphabet, making the data you worked so hard for impossible to incorporate and creating a nightmare for the CTO in charge. So, how do we know we are testing the right thing? How can we shorten the time it takes to do the tests while gaining larger amounts of data?
Speaker: Dan Olsen - Product Management Trainer and Consultant, Author, and Speaker
Everyone working on a product is trying to achieve the same goal: product-market fit. But most products fail to do so. In this webinar, product management expert Dan Olsen will share his simple but effective framework for achieving product-market fit from his book The Lean Product Playbook.
Speaker: Jim Morris, Founder, Product Discovery Group
It turns out that even ordinary product teams can discover extraordinary ideas. By using the Product Discovery Cycle, teams can find new ideas, understand customer pain points, and test solutions quickly and cheaply. Putting solutions to the test, analyzing the results, and creating new features.
Speaker: William Haas Evans - Principal Consultant, Head of Product Strategy & Design Practice, Kuroshio Consulting
The purpose and value of experimentation (from a scientific and product perspective) is to produce new information. 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.
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