4 Product Management Forums You Should Know

If there’s any profession that needs regular gut-checks, crisis advice, and perpetual professional development, it’s product managers. It’s a high-stress business that can be isolating–meaning the best people to turn to for support are other product managers.

In one analysis from Pragmatic Marketing, jobs with the title “product management” have doubled in the past few years–so there are plenty of peers with whom to collaborate. Whether you need to decide which management system to use, which product lifecycle management service to consult with, or just want advice on reaching a professional goal, there may be no better teacher than those who have been doing it for a while.

Typically, product managers would add to their knowledge via professional events and other in-person meetings that organizations regularly host. Unfortunately, COVID-19 has seen almost every product marketing conference canceled for 202. The good news is that the internet provides plenty of opportunities to fill the gaps. To help out our readers, we dug into all the online communities where product managers swap ideas and turned our evaluation into this list of top 5 forums.

Product Manager HQ

Global Slack product community Product Manager HQ boasts more than 7,000 international members from 6,000 corporations across 40 channels–and a lifetime membership only costs $25. The founders say participating in the online community has benefits for all types of product managers. This Slack channel is ideal for those who are still working their way up the product management ladder and will help members break into the industry and make connections with other PMs from influential companies like Google. For the more seasoned product manager, it’s a chance to mentor as well as continue learning. Forum characteristics include Ask Me Anythings (similar to Reddit’s AMAs) and discounts to tools, events, and other resources. Search for the conversations you need by hashtag (like #design, #pmjobs, #data) or channel. The site also offers a crash course called “One Week PM.”

Product School

As the largest Slack community for PMs, Product School is not to be missed. The community also offers AMAs–almost every week–and has more than 50,000 members. This Slack group is big on providing insights and expertise from top product managers, meaning the answers to your questions will come from experience rather than be generally crowdsourced at all times. Some channels are location-specific, while others are topic-specific (job searching, technology-focused, or events, for example).

HH Product Management

In the five years that private Facebook group HH Product Management has been around, it’s been growing. With more than 6,000 members, the page averages a couple of posts a day–making it easy to keep up with every discussion. It targets those in the tech industry and primarily involves intel around product management careers. But be warned: participants must abide by a set of rules seeking and recruiting (e.g. no posting resumes). That’s actually a good thing–the moderators want to make sure the posts remain widely relevant and interesting, and that it doesn’t become another job postings site. Current mentors are leaders from Tumblr, Rhubarb Studios, and a former PM from Yahoo!.


Available in an app with a layout similar to Quora, upGrad has something for every product manager. Associated with disciplines like business analytics, data science, software development, and digital marketing, this online community ties back to the company’s MBA offerings (among other programs). In addition to the Q&A posts and a chance to rub elbows with industry experts found on other online forums, upGrad features access to interview questions, informative articles, networking and event-specific forums, and case studies. Send an SMS to get the link, which will allow you to download the app.

If you liked this post and love online communities–and also have cross-over with data analysis and product analytics (what PM doesn’t?)–check out our blog on the top 5 forums for data analytics.

5 Data Analytics Forums To Follow and Why

COVID-19 has rocked the business world in many ways, one of them being in-person events; conventions, conferences, and other opportunities for idea sharing are canceled for the remainder of 2020. Luckily, the internet is home to some informative and dynamic forums that can provide professionals with valuable professional development and industry connections.

To get our data-loving customers started, we’ve identified five of the best forums for those working with (or are interested in) data analysis and business intelligence.


We rank Reddit’s Data Science forum first because it’s highly active and sees a ton of responses, a benefit of living within one of the most visit websites in the world. The downside? You may have to do some sifting to find more specific information, as topics range widely. For beginners exploring their interest in data science, there are plenty of posts asking for definitions and explanations, as well as professional guidance (“Should I get a Master’s Degree in Data Science?”). For the more advanced, participants can find freely shared algorithms, tips on more efficient setups, and creative project ideas.

May we also suggest: Github’s Data Analytics repository is useful for data scientists and those with more in-depth technical knowledge of data analytics. The posts are heavy on coding-related topics–Python in particular. Visiting this page will give you access to course repositories, pre-built spreadsheets for independent use, and the occasional troubleshooting post.

Analytics Vidhya

Whereas someone could spend hours surfing through Reddit’s Data Science forum, those who need a quick answer to a straightforward question might like Analytics Vidhya’s Discussions forum, where threads close out quickly. Analytics Vidhya offers data science courses, so the forum’s topics are suitable for both beginners and those who want to continue their learning. Even for the average person, some of the posts are a unique look at how people are using data analytics to solve problems. The downside is that while most views are in the hundreds, each one averages only two replies, so you won’t get heavy input. Discussion topics have included best practices for creating data sets, regression analysis, and open-source tools.

May we also suggest: Quora can be an unmatched interactive resource for life advice, and that holds for many things in data science. From breaking down the pros and cons of related academic degrees and certifications to deeper Google Analytics dives this site is a priceless Q&A hub for things like business intelligence, mobile user analytics, computer network know-how, statistics, Artificial Intelligence, and more.

Facebook’s Data Science Group

With almost 120,000 members, Facebook’s Data Science Group sees activity every day.

May we also suggest: Don’t forget LinkedIn, which is an internet forum in itself if you join active groups like Machine Learning and Data Science or Big Data and Analytics. More recent discussions include an invitation to a free online data science boot camp, feedback on a deep learning article, and an overview of data visualization for COVID-19. Facebook also has a (private) Big Data & Data Analytics Group with more than 20,000 members. Industry-specific professionals should check out pages like Analytics / Machine Learning / Data Mining (private). There’s also this roundup of data analytics groups on LinkedIn, which are more focused on business analytics.

Data Science Central

Data Science Central’s online groups rank consistently in forum recommendations– and perhaps that’s because this set of 16 groups offers easy access to scientists around the world. The website’s discussion boards cover data science apprenticeships, a wealth of analytics-related resources, and topic-specific posts (e.g. IoT or bioinformatics).

Dataquest Community Dashboard

Dataquest’s interactive forum is divided into three categories: Q&A, Social, and Knowledge Base. The Q&A section is useful for posting technical questions; the Social section hosts discussions around ideas, concerns, and recent developments; and the Knowledge Base portion is for members of the company’s online learning community.

If you want to keep control of your product analytics without giving up transparency, let us show you how you can have everything you want with no-code and completely self-service. Get a demo.

Righting Data Wrongs: Kubit’s 3 Quick Tips For Data-Driven Businesses

We all make mistakes, but the worst is when we don’t even realize it. How can you fix what you didn’t know was broken? For businesses, this is a problem when it comes to data-driven cultures and decision-making.

Today, data analytics news site InsideBIGDATA ran an article of mine about how to improve data analytics-based practices. In this quick and immediately useful read, I pinpoint the three biggest mistakes companies don’t seem to know they’re making–from cultural mindsets to logistical errors.

From a workplace culture perspective, companies have typically assigned data queries and reporting to their data scientists. But smarter technology and savvier user interfaces are making it possible to open up data dives to employees across departments. Doing so, however, is easier said than done. With advanced software as a vital tool, leadership still needs to ensure strong communication practices, maintain the quality of data sources, and understand the value of contextual data.

Check out the article here to get some great tips on how to make sure your business’ data analytics practices are the best they can be, and feel free to send us any questions at info@kubit.ai!