Product Innovation Educators
JUNE 3, 2024
Mastering Market Research Techniques for Successful Product Management Watch on YouTube TBD TLDR Market research is essential for product managers to make informed business decisions and to create products customers love. Using multiple methods provides a more complete and insightful picture of customer needs.
Centercode
MARCH 12, 2019
Those aspects show the difference between crowdsourced testing and beta testing. The conditions surrounding these two test types are very similar. Crowdsourced testing, like beta testing, gives testers real products to use in the real world before release. What are the goals of your feedback?
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Centercode
JULY 16, 2019
When it comes to soliciting pre-release customer feedback, most teams focus on one thing: bugs. When you treat all customer feedback one way, you’re missing out on the full benefits of target market insights. Here are the 3 critical things you should be looking for in your customer feedback. Things to Fix.
Lenny Rachitsky
APRIL 18, 2024
Beware of “tar pit ideas”: ideas that receive initial positive feedback but may lead to long-term challenges. However, despite the positive feedback and validation, they can become difficult to pivot away from once their limitations become apparent.
Intercom, Inc.
JUNE 20, 2018
As Intercom’s customer base moved upmarket, it became increasingly obvious to us in Sales that what worked well in our product for early-stage startups didn’t for larger companies. But we quickly realized that the job of sales at Intercom is two-fold: to drive revenue for the company and be the voice of our customers.
The Product Manager Coach Blog
SEPTEMBER 5, 2023
When you’re connected, you have a broader spectrum of information to draw from, allowing you to anticipate market shifts, user needs, and potential threats. By networking, you’ll get: Crowdsourced Solutions: Instead of spending hours researching, a well-placed question within your network can offer immediate answers.
The Product Coalition
MARCH 5, 2018
Here they are at a glance: Identify the problem There are no alternatives to good old fashioned user research Get the right data set Machine learning needs data?—?lots Weigh the cost of getting it wrong A wrong prediction can have consequences ranging from mild annoyance to the user to losing a customer forever.
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