This quarter, we tried something new for the Community Team roadmap and worked through every idea the community team had in an initial planning session. Here's what made the cut for Q3.
We received a bunch of requests to share how we use our feedback framework on specific features. We got excited about this, and given that we just released Dark Mode (and “Ultra Dark Mode”), we thought this was a great opportunity to show how we arrived at our solution.
After speaking with subject matter experts, we decided to take a step back. In this post, we list and organize our methods of feedback into a matrix. The goal is to offer a clear framework to follow and to identify areas that could use bolstering with alternative methods.
It’s easy to wonder how leaders, even the good ones, sleep at night. The decisions that come across their desks affect so many lives, jobs, healthcare, human rights. All of these decisions impact large sums of people and their ability to sustain their personal Maslow’s hierarchy of needs. It’s hard to imagine how they can…
In this post, we'd like to talk about some of the initiatives that are happening internally at Stack Overflow aimed at addressing and repairing our relationship with our community.
We’re excited to share research highlights about the work we’ve been doing to understand how satisfied people are with Stack Overflow. We’ve been working hard to explore what users like best about Stack Overflow and what their top pain points are, with the goal of improving the overall experience of using the site. To this end, we’ve launched a site satisfaction survey, in which we continually survey users about their experiences using Stack Overflow.
If you work on a product that’s ever benefited from research – whether that’s talking directly to users, analyzing experiment data, or any number of other research methods – you know how indispensable these inputs are for making the right decisions. But how do you decide which methods to use and when? How do you know if you’re spending the right amount of time on research? How do you know when it’s time to change your research methods?