Sprig

🚀 Meet the new AI-Powered Always-On Replays! Finding user experience issues shouldn’t mean digging through endless session clips or piecing together fragmented insights. Now it doesn’t have to. Sprig AI automatically recreates sessions across user flows, identifies hidden friction, and highlights behavior patterns you’d otherwise miss—so you can optimize every experience with less effort. What’s new: - 🎥 Automatic session recreation - 🧠 AI Behavior Mapping - 🔒 Built-in advanced privacy controls Smarter insights. Faster fixes. Better products. See what’s possible with AI-Powered Always-On Replays. 👉 Book a demo or try it out today.

How will AI transform feedback loops and product roadmapping over the next 5–10 years? We asked a roundtable of product experts. Here are a few standout takeaways: - Qualitative feedback at scale is still a challenge: AI will play a key role in parsing and categorizing qualitative insights and linking them directly to live roadmap items (especially with tools like Sprig). - AI can act as a strategic thought partner: Imagine AI challenging roadmap decisions, stress-testing business cases, and helping ensure your team is building the most valuable features. - Roadmaps are living documents: AI could serve as a coach during periods of change, helping teams re-evaluate and optimize plans based on shifting priorities and real-time signals. These were a few of our favorites—curious to hear yours. Drop your thoughts below!

Coinbase ran into a common product challenge: users were visiting their tax center—but what were they actually there to do? To improve the experience, the team needed to know what users were looking for, what they were downloading, and how satisfied they were with the feature. They launched a quick in-product CSAT survey with Sprig. Three simple questions revealed powerful insights: 1. How satisfied are you with [product interface]? 2. Did you find what you were looking for? 3. What are you looking for? (open text) 💡 The results helped Coinbase: – Uncover and fix a bug that was blocking report downloads on some browsers – Prioritize changes that made tax filing easier and more intuitive The takeaway? A lightweight survey can unlock big improvements—especially when it’s embedded in the right moment. 📥 Save this template to use with your own product.

There has, quite literally, never been an easier way to see exactly how users interact with each part of your product, and make improvements accordingly. Leading brands like Figma, Coinbase, Notion, and more are using this exact process to improve their product. It’s simple, too: 1/ Easily install Sprig into your app (via a simple one-time installation via Segment, Google Tag Manager, and more.) 2/ Protect users’ privacy by customizing your Sprig privacy settings to blur sensitive user information in your Replays, including form content, images, and password fields. 3/ Launch continuous or targeted Replays to continuously track user interactions and reproduce users’ journeys across flows. Plus, add a Replay into a Survey to easily analyze user interactions (and sentiment). 4/ Analyze and learn at scale (Sprig AI analyzes Replay clips to surface key behavior themes to make this easy for you). It’s that simple. We’d love for you to try it out. Book a free demo from our profile if you’re interested!

Great products start with rich, realistic user personas. But too often, research teams fall into the same traps — and it can throw the whole product off course. User personas only work when they’re both complete and grounded in reality. Otherwise, bias creeps in and skews everything. To stay on track, avoid these four common pitfalls: 1. Don’t focus on demographics over behavior. Age, gender, and location can easily lead to stereotyping that misrepresents how users actually experience your product. 2. Don’t overlook the diversity of your customer base. Your users aren’t a monolith. Build a range of personas that reflect real differences in needs, goals, and behaviors. 3. Don’t make assumptions instead of using data. It’s easy to project your own perspective onto your users. Let data guide your insights, not gut feelings. For example: relying on social media alone to create personas can be misleading. People behave differently when they know they’re being watched. If you want to understand how they really use your product, in-product surveys and replays are a must. 4. Don’t let personas go stale. Outdated insights lead to outdated decisions. Keep your personas current and always separate correlation from causation. Nail these, and your personas won’t just be profiles — they’ll be powerful tools that drive better decisions and better products.

Good research gets noticed. Great research drives decisions—and Critical User Journeys can get you there. On Wednesday, May 14 at 10am PT / 1pm ET, join Sprig and UX research expert Nikki Anderson for a live webinar on critical user journeys (CUJs)—designed specifically for UXRs. You’ll learn: - How to define and prioritize CUJs to support discovery and research strategy - Techniques for aligning stakeholders around the right flows - Common pitfalls when mapping and applying CUJs - How qualitative methods surface deeper journey-level insights Reserve your spot via the link in the comments—we’d love to see you there.

Turn raw feedback into clear, actionable insights—without the manual lift. Here’s how top UX research and design teams are using Sprig AI to scale their impact: The process is extremely low-lift, but incredibly high reward: 1. Instantly launch your Sprig study. Sprig AI will help generate targeted Survey, Feedback, Replay, and Heatmap studies across your product to capture user feedback and behavior data. 2. Sprig AI will surface product challenges. You can automatically see your study's most valuable product takeaways, including product opportunities, correlations, trends, and strengths. 3. You can take action with Sprig’s guidance. From there, you can review Sprig AI’s custom insights for each opportunity to see exactly what product changes to make to improve usability, conversion, and more. Read Ward, Product Lead at Ramp, had this to say about Sprig AI Insights: “Sprig AI filters through all of our product experience data and identifies the key product recommendations.” If you want to see how this will look for your product, book a free demo from our bio!

InsightOut 2025 brought the UX research community together for real conversations, fresh ideas, and a shared passion for moving the field forward—and we were proud to support it as a sponsor! From meaningful chats at the Sprig-sponsored happy hour to our CEO Ryan Glasgow speaking on the future of research and product development, the entire experience was energizing. We also heard firsthand how teams are rethinking their research stacks in favor of faster, more scalable approaches—something we're excited to keep supporting. Big thanks to Dovetail for hosting such a thoughtful, community-driven event. We’re grateful for the chance to connect with so many researchers and can’t wait to keep the conversations going. Until next time!

🚀 We’re excited to welcome Raheem Syed as Sprig’s new Head of Engineering! Raheem brings a wealth of engineering leadership from some of the most innovative SaaS companies. Most recently, he was Co-founder and CTO at Landbase, and prior to that, he held senior roles at Juniper Square and AppDirect where he scaled teams and platforms powering billions in transactions. At Sprig, we’re building the future of product experience, and Raheem is the perfect leader to take our engineering org to the next level. His expertise in building scalable systems, driving technical excellence, and leading high-performing teams will be instrumental to our growth. Welcome to the team, Raheem! We’re thrilled to have you on board!

Figma didn’t know what resources new users needed to learn how to use its platform. But they needed to figure it out. Here’s exactly how they did: For context, the Figma team wanted to figure out exactly where, what, and how new users were learning the platform so they could best help them get to value quicker, rather than leaving them to navigate the platform on their own. Without Sprig, they would’ve spent weeks or months interviewing users, categorizing responses, and pulling insights from them. With Sprig, they got their answers in 72 hours. They quickly launched two In-Product Surveys to better understand the learning journey and get answers around: - What learning resources do people prefer? - Where do they find them? - How do they apply them to their work in Figma? They had hundreds of responses flood in. These actionable insights unblocked the team, enabling them to surface key themes and then launch more direct, targeted research on learning journeys to help them dig deeper where needed. Here’s what Rie McGwier, UX Researcher at Figma, had to say: “Sprig in-product Surveys enabled us to get a wealth of feedback from this audience and then understand exactly how they were using Figma and how we could help them better use the tool.” Watch more on this below!