PostHog is one of the most useful tools for understanding what users actually do inside a product. I really like that analytics, funnels, session recordings, feature flags, experiments, surveys, and dashboards are all connected in one place, rather than being split across several different tools. The session replay feature is especially valuable because it lets us observe real user behavior, spot friction points, and better understand where and why users drop off. It also makes product and marketing decisions much easier, since we can tie user actions to clear data instead of relying on guesswork. Overall, PostHog provides a very complete view of the customer journey and helps teams iterate and improve the product faster. Review collected by and hosted on G2.com.

There is not much I strongly dislike about PostHog, but the main downside is that it can feel a little overwhelming at the beginning because it has many powerful features in one platform. Setting up events, dashboards, funnels, and feature flags properly requires some time and planning, especially for teams that are new to product analytics. Some reports could also be easier for non-technical users to understand without needing help from a developer or data person. Overall, these are not major problems, but improving onboarding, templates, and simpler explanations inside the product would make PostHog even easier to adopt. Review collected by and hosted on G2.com.

What I like most about PostHog is the level of visibility it gives us into real user behavior, while still staying very developer-friendly.

Session recordings, funnels, feature flags, and the event exploration tools are especially valuable. They make it straightforward to debug issues, validate experiments, and see how users interact with new features, without needing a massive analytics setup. Review collected by and hosted on G2.com.

One downside is that parts of the UI and navigation can start to feel overwhelming as you adopt more PostHog features over time.

There’s a lot of power packed into the platform, but it can sometimes take too many clicks or a bit of context switching to get to exactly what you’re looking for. Query performance on larger datasets can also occasionally feel slow or inconsistent. Review collected by and hosted on G2.com.

I enjoy using PostHog for its analytics and visibility, which allow me to learn usage patterns from my users. The session replay feature is immensely helpful for getting feedback on user journeys through our platform, especially at the initial launch of SmushLabs.ai. PostHog is really clean and easy to use, making installation a breeze even for someone not so technical in marketing tools. The simple script installation through Node and the analytics working effectively, particularly with session replays, stand out to me. PostHog also has great visibility features and allows you to own your data. The session replays give me visibility on possible bugs and errors, and they help me understand the user journey through my landing page. The initial setup was incredibly easy; it was the best I've seen. Review collected by and hosted on G2.com.

Honestly thankfully I am a bit technical but looking it being used by other founders it might get a little complex. Review collected by and hosted on G2.com.

What I like most about PostHog is how much visibility it gives into user behavior without needing multiple tools. We use it to track events, analyze funnels, understand drop off points, and monitor product usage in one place. Session recordings and feature level insights are especially helpful because they help us understand not only what users do, but also why they do it. It is flexible and provides a lot of value for product and growth teams. Review collected by and hosted on G2.com.

Because PostHog has many features and customization options, there can be a learning curve at the beginning. Setting up events and maintaining a clean tracking structure requires some planning, especially for teams without strong analytics experience. Review collected by and hosted on G2.com.

We mainly use it for product analytics and session replays and check it almost every day. It provides a lot of high-quality features for a website or SaaS product, and it isn’t hard to understand how to implement, even though there are many features it tries to walk you through. I also really like the app’s design; it looks great and genuinely feels like a passion project. Integrating it into both our website and our web app has been fairly straightforward as well. Their documentation site looks so good but is also helpfull. Review collected by and hosted on G2.com.

There isn’t really anything I dislike about it, but you do need to be at least a bit tech-literate to use it comfortably. Otherwise, it can feel overwhelming at first. That said, it seems like that’s exactly the kind of user they’re catering to. Review collected by and hosted on G2.com.

I mostly use PostHog for its product and web analytics, "session replay" screen recordings, and funnel analysis. The way these features are integrated with customer data models makes it a very insightful tool. PostHog provides a more generous pricing structure compared to Hotjar, which has limitations on surveys and recordings. I love how actively maintained PostHog is; it's a platform that grows quickly and effectively, implementing the "right" new features without being swayed by buzz-like AI. I appreciate that they listen to customers and solve their problems. The advantage of having an all-in-one suite that combines user and company data with analytics events, recordings, and surveys is invaluable. The initial setup with the web client was easy. Review collected by and hosted on G2.com.

They have documentation. It's good to get you started but not helpful to solve advanced problems. Since the AI consults the same docs, for advanced questions the AI bot isn't that helpful either. Review collected by and hosted on G2.com.

We use PostHog daily for both web and mobile analytics. It gives us full control over event tracking, funnels, and feature flags without relying on multiple tools. I especially like the flexibility of defining custom events, running product experiments, and connecting everything directly to our data stack. It feels very developer-friendly compared to tools like Mixpanel or Amplitude. Review collected by and hosted on G2.com.

The main downside is the learning curve. Because PostHog is very flexible and technical, it takes some time to properly design events, funnels, and dashboards. However, once set up, it becomes much more powerful than simpler analytics tools. Review collected by and hosted on G2.com.

As a founder, PostHog gives me day-to-day insights into issues users would never tell me about themselves. I can see where people struggle and act on it before it becomes a complaint. Feature flags have also been hugely valuable even when I'm not running big experiments, I use them to toggle features on and off or push status messages to users. It's a simple but powerful way to stay in control of what's live. Review collected by and hosted on G2.com.

The frontend for posthog.com has started eating a lot of memory on my machine. The PostHog app can hit around 1 GB, which feels off for a web app. Something seems to be leaking or over-fetching. Review collected by and hosted on G2.com.

What I like most about PostHog is its flexible event tracking and cost-effective analytics. It lets us capture user interactions across our application—clicks, feature usage, and user flows—so we can understand how people actually use the product.

The event explorer and funnel analysis tools also make it straightforward to analyze behavior without needing complex queries. As a result, our product and engineering teams can quickly check adoption of new features and spot where users drop off in key journeys.

Another big advantage is the pricing model. Compared to other analytics platforms, PostHog provides strong capabilities like event tracking, dashboards, and product insights at a much lower cost, which feels especially practical for growing teams.

Overall, PostHog gives us deep visibility into product usage while staying easy to integrate and affordable, and it has become a valuable part of our workflow. Review collected by and hosted on G2.com.

One challenge with PostHog is that some of its more advanced analytics features come with a learning curve for new users. Basic event tracking and dashboards are easy to get started with, but fully understanding how to use funnels, insights, and custom queries can take time—especially for teams that are new to product analytics tools.

Another area that could be improved is how the UI is organized for more complex analytics workflows. As the number of tracked events grows, managing them and quickly finding the right events or insights can start to feel a bit overwhelming.

Also, although PostHog is very cost-effective compared to many other analytics platforms, certain advanced capabilities and higher usage volumes can still drive costs up as the product scales. Because of that, teams need to plan their event-tracking strategy carefully.

Overall, these are relatively minor drawbacks compared to the value the platform provides, but better usability and stronger event management would make the experience even better. Review collected by and hosted on G2.com.

I appreciate the session replay feature and how seamlessly it integrates with other analytics tools. The free tier is impressively generous, providing a comprehensive solution for managing user experience, product analytics, and developer insights. As a solo founder, having all these capabilities in one place is truly invaluable. Review collected by and hosted on G2.com.

It's a minor thing, but it's a little difficult to get the most out of the dashboards without a lot of learning / config, however the docs seem to be really good. Review collected by and hosted on G2.com.