I like that Sprig posts all of the survey results in Slack. Instead of going to the website and digging through reviews, I get updates in Slack as soon as someone fills out a survey, which is much more convenient. On the app level, the setup was very easy since it piggy backs off of Segment. Additionally, I would say 10 out of 10 for recommending Sprig, as I can't think of another survey service that would do any better. Review collected by and hosted on G2.com.

I don't like the lack of full Android support. I'm an Android developer, and it seems like Android is an afterthought compared to iOS and Web, which appear to be fully supported. I would like to see Android as an option when filling out a survey. The Web setup was much more involved compared to the ease at the App level, which piggybacks off Segment. Review collected by and hosted on G2.com.

I use Sprig to gather customer feedback through in-app product surveys, NPS studies, and feature-specific research. I love the AI-powered analysis of responses which provides actionable insights. What I like best is its ability to translate high volumes of customer feedback into actionable insights. The AI analysis summarizes open-ended responses, identifies recurring themes, and highlights strengths and opportunities, saving my team a lot of manual effort. It makes it easy to identify trends, prioritize improvements, and share meaningful insights with my product and customer experience team. The initial setup was straightforward and the platform is user-friendly, with little learning curve, making starting with surveys quick. I appreciate the easy integration with tools like Slack and Mixpanel, seamlessly fitting into our workflows. Review collected by and hosted on G2.com.

Sprig has worked really well for my team in general, and I haven't run into any major pain points that have disrupted our workflow. The only thing I would critique is to provide a few more customization options, AI-powered dashboard maker/visualization to make reporting even more flexible and easy for different stakeholders. Review collected by and hosted on G2.com.

Sprig has been a valuable tool for our lean PM team. The interface is intuitive enough that we can set up and deploy in-product surveys without engineering involvement, and the study builder handles conditional logic well. We ran a study that reached 340+ responses, which exceeded our expectations and delivered insights we couldn't have gotten as quickly through other methods. The AI-assisted analysis on open-ended responses is the standout feature, it surfaces themes across large response sets without manual tagging, which meaningfully cut down synthesis time. Integration alongside our existing behavioral analytics stack works for our needs. ROI is clear for teams that want to run research without a dedicated researcher in the loop. Review collected by and hosted on G2.com.

The targeting and segmentation options can feel limited if you want to get precise about which users see a study based on complex behavioral criteria. Reporting exports could be more flexible getting data into a format ready for deeper analysis sometimes requires extra cleanup. Pricing is also on the higher end for smaller teams, so the ROI case depends heavily on how frequently you're running studies. Review collected by and hosted on G2.com.

Sprig eliminates a lot of the tedious boilerplate engineering required to quickly gain insights from customers Review collected by and hosted on G2.com.

It can be difficult to validate surveys in our test environment before launching them to production. Most of the time surveys require passing metadata throughout a deeply nested customer funnel. We built an in-house context logger around Sprig to make this easier, but it's added infrastructure to maintain on top of Sprig itself.

Having a reliable way to automate testing survey set up on the client would be a huge time saver. A lot of the time I find myself building the app and walking through a lengthy user flow, only to find out I'm missing a KV pair somewhere in the chain and need to start the testing process all over again. Review collected by and hosted on G2.com.

I use Sprig to display surveys across our mobile and web app to gather user insights into our product. It provides detailed customer insight into their issues with the product, which really helps my team focus on what's needed. I like that the usability is great; it's super simple to set up. The endless amounts of templates speed up the process and help us get the correct information we're looking for, whether that's NPS scores or other surveys. The UI interface is super clean and easy to use, very intuitive, making the product easy to learn. Also, Sprig has the best support and usability, which made it stand out when we chose to use it. The initial setup was super simple thanks to their support team and useful documents/videos. Review collected by and hosted on G2.com.

The only frustration I have with Sprig is once a survey is complete and we end/complete it, we still have to go in and delete the event. Otherwise, MTUs keep being used, which has been occasionally forgotten and our MTUs get drained for that month. I feel once a survey has been marked as complete/done, there should be an option to automatically remove that event or at least an automatic reminder to do so to avoid it getting forgotten. Review collected by and hosted on G2.com.

I think the UI of Sprig is super easy and accessible for a researcher like myself. I appreciate being able to use internal AI tools to query Snowflake and get data tables of users I want to reach out to, which I can upload to Sprig to launch a survey in minutes. It's great for recruiting users and doing deeper research with them. It really feels like my tool, my superpower, to get in touch with users and get something in front of them without needing a heavy lift from engineers to build something. I find it really powerful for reaching out to users I need to talk to. The engagement rates with Sprig are a lot higher than email, which is one of the main reasons I like using it, especially for recruitment. Review collected by and hosted on G2.com.

I think in general, anyone who wants to have a bit more customizability over their feedback experience will need to build something native. Sprig is great, but it's limited right now to really just a tray that pops up, which can be a bit disruptive for some users. We've gotten feedback before that the trays can be annoying or disruptive. Sprig does have a built-in CRM function to not target users repeatedly, but having more customizability over the experience would be better. Obviously, you can customize the look and feel of the trays to match your product, but as far as I know, it doesn't really support dark mode from what I've seen. Or maybe it's just that our company hasn't fully utilized it. So, yeah, mainly just about the experiential aspect of triggering the surveys could be improved. Review collected by and hosted on G2.com.

Sprig's UI is extremely intuitive, and navigating to previous surveys and insights is quick. AI generated summaries are easily digested and do not require an overly nuanced understanding of the survey construct in order to scan results/conclusions and come away with key learnings. Review collected by and hosted on G2.com.

I find the actual process of setting up surveys to require a more granular knowledge of my site's triggering criteria - which could be a function of how my organization has trained us, but a glossary or internal guide to understanding how Sprig was implemented on the site would be extremely helpful Review collected by and hosted on G2.com.

Super easy to set-up new in-product surveys and how quickly we can start getting insights on new topics. The heatmaps are also quite helpful and it's easy to get started for anyone new. Also really glad to see the Sprig MCP integration to start leveraging these insights even more with AI tools. Review collected by and hosted on G2.com.

The main downsides for me are cost, which feels steep as usage scales, and the reporting, especially the dashboards lack the depth and flexibility I want to be able to slice results. I've also hit limits like slow data exports and a lack of advanced survey logic (display logic, piping, quotas). Review collected by and hosted on G2.com.

The ability to customise different studies is powerful, especially when I need to look for specific quantity surveys or studies. The interface is quite straightforward and easy to use, even without any required training. The tool integrations are very comprehensive, with most integration connectors available. So far, I haven’t had any bad experiences with performance issues or downtime. Review collected by and hosted on G2.com.

The pricing could probably be more competitive with the current market, especially compared with other tools that offer similar capabilities. Review collected by and hosted on G2.com.

Sprig is taking full advantage of AI advancements and MCPs to integrate into the way researchers are doing work today. Review collected by and hosted on G2.com.

Sprig has been well-positioned to handle intercept prototype/design testing, but hasn't built features in that direction. This would make Sprig much more valuable for a design team. Review collected by and hosted on G2.com.