Sprig

New blog post just dropped! Fixing Generic AI Outputs in UX Research 🧠 Tired of average AI responses? We’re with you, and Anat Mooreville, Ph.D. is breaking down the CRAFTe Method in this week’s blog post. AI can enhance your research, but prompting is really what’s key. That’s where the CRAFTe framework comes in: a practical, proven method for actually getting useful insights from AI tools, especially for UX teams. ▶️ Check out our latest post! 5 minute read to learn how to move past vague AI answers with effective prompts. https://lnkd.in/gqBnvmdJ

🧪 Research says… you might just love working at Sprig! We’re hiring across the board and we’re on a mission to help the world’s most innovative companies build exceptional products. Join us in scaling the modern research platform trusted by Notion, Robinhood, and Dropbox. Know someone great, or ready to do your best work? 👉Explore our open roles at sprig.com/careers

Legacy survey tools are slowing teams down. So we built something better. Today, we’re excited to announce Sprig Long-Form Surveys, the fastest way to run strategic, scalable research. Modern research teams need tools that match their pace. That means less time configuring complex logic and manual analysis, and more time delivering insights that drive decisions. Sprig Long-Form Surveys combines an intuitive builder, advanced research capabilities, and integrated AI to help you move from study design to insight in minutes. What’s included: ⚙️Enterprise-grade survey builder with built-in AI ✨AI-powered analysis of open-text responses 🎨 Custom branding and multi-language support Now available in private beta, with three months of free access. Join the beta or learn more with links in the comments!

5 ways to lose customers (without realizing it): 1. Ask for feedback months after the problem has already happened. 2. Run NPS surveys once a quarter (then ignore them). 3. Collect feedback without seeing how users actually interact with your product. 4. Act on incomplete data. 5. Assume silence means satisfaction. Silence is actually much worse than bad feedback. In fact, only 1 in 26 customers voice their complaints, and the rest churn quietly. Luckily, Sprig Feedback and Always-On Replays let you continuously understand user feedback and behavior. These tools give you ongoing visibility into real-time sentiment and behavior across the user journey. Sprig AI then highlights patterns, flags issues, and surfaces opportunities so that you can focus on the signal, not the noise. Together, Feedback and Always-On Replays form an early warning system for your product experience. Think of it like maintaining a home. Would you rather discover a leak when your ceiling caves in or spot the pressure building in your pipes before it bursts? Instead of reacting too late, Sprig gives you that early warning. So you can: → Catch friction before customers churn → Understand what users were doing before they left feedback → Fix issues before they escalate Your users shouldn’t have to file a ticket for you to know something’s wrong. Book a personalized demo via the link in our bio to see how Sprig helps you retain more customers.

Tired of watching hours of session replays? Most tools make you scrub through endless footage just to find a few seconds of insight. Sprig Always-On Replays capture every session, and then Sprig AI automatically highlights the trends and key moments that deserve your attention. Here are 5 ways teams use it to improve product experience: 1. See exactly where users drop off Sprig AI identifies high-friction points across key flows like onboarding, checkout, or signup (no manual analysis is needed). 2. Zoom in on the right audience Filter replays by plan type, device, or custom attributes to focus on the segments that matter most. 3. Identify common struggles across sessions AI flags repeat patterns — like users getting stuck, rage-clicking, or abandoning key flows — so you can fix what’s slowing them down. 4. Connect behavior with survey feedback See what users were doing right before submitting a response or abandoning mid-survey. 5. Share the moments that matter Each AI-surfaced clip comes timestamped and ready to drop into Slack, Jira, or your next stand-up. Sprig Always-On Replays are built for: → Spotting friction in critical journeys → Understanding feature adoption → Troubleshooting issues without digging through hours of footage → Optimizing conversion flows Get continuous insight into how users actually experience your product. Book a demo today!

Most research teams are already using AI in their workflows. But there’s one overlooked use case that can 10x productivity… By now, most research teams already know how to use AI to speed up daily operations: 1. Generation: Drafting survey questions or interview briefs that get you 60–80% of the way. 2. Synthesis: Pulling patterns from open-text responses or summarizing interviews at scale without tedious manual analysis. But when we sat down with Mustafa Kapadia (formerly Google’s Global Head of Generative AI), he pointed out a third, underrated use case: sparring. Sparring lets you pressure-test your work by poking holes in your logic and making sure everything ties back to business impact. Here’s how it can elevate your research: 1. You’ve mapped out your insights from 15 user interviews. Ask AI: “What key themes might I have missed?” 2. You’re working on a research plan deck. Upload it and ask AI: “Play the role of a skeptical PM. What pushback should I expect on this deck?” 3. You’re preparing findings for executives. Ask AI: “How would a CFO interpret this data? What would they challenge?” Think of sparring as a final checkpoint before you ship your work. The result: fewer review cycles and stronger alignment across research, product, and leadership. And who isn’t up for that?

Bad news: Over 50% of customers will switch to a competitor after a single bad experience. Good news: With Sprig, you can catch those make-or-break moments before they lead to churn. Here’s how: Critical user journeys (CUJs). When you can pinpoint the sequence of actions users take to experience the core value of a product, you know where the friction points that cause churn are. A CUJ is any important sequence that drives business outcomes. Take Spotify, for example. If users can’t create a playlist, that’s a big problem that directly impacts recurring revenue. Or, if users aren’t able to complete checkout, your business won’t capture any revenue in the first place. So it starts with: 1. Identifying the user’s end goals. 2. Mapping the journey they take. 3. Prioritize the CUJs and user outcomes that tie to business goals. Once you know which CUJs to fix, that’s where Sprig comes in to help in 3 ways: 1. In-Product Surveys In-product surveys will intercept users at the exact moment they complete or abandon a critical journey so that it doesn’t disrupt the flow. These surveys capture user sentiment while the experience is fresh, so you’re getting high-value, contextual feedback. 2. Session Replays Session replays allow you to recreate a user’s interactions leading up to and after critical moments, so you can really tie what they say to what they’re doing. 3. AI Insights Analyzing open-text responses to gain qualitative insights has traditionally been a huge bottleneck for user research teams. Sprig’s purpose-built AI analyzes feedback, categorizes it into buckets, and surfaces the top insights so you can easily take action on user sentiment. Rather than manually sifting through responses in search of core takeaways, Sprig AI does this instantly. Main takeaway: Identify your core CUJs and use Sprig to quickly find and fix friction so it doesn’t get in the way of your business goals.

Introducing the new Sprig, built for modern research teams. We’ve reimagined Sprig’s platform, mission, and visual identity to meet the needs of today’s research teams and the future of how they influence product decisions. Sprig is now a unified experience research platform that helps you capture what users say and do, connect the insights, and turn them into action faster than ever before. And this is just the beginning. Explore what’s new at sprig.com

Old way: Write a spec, wait on research, hope you’re right. New way: Launch an in-product survey, validate in 24 hours, prototype in days. Sprig helps user research teams move faster from idea to insight—without compromising rigor. Instead of waiting weeks for research, teams move from idea to validated prototype in days. Here’s how: 1. Capture in-the-moment feedback. Researchers launch in-product surveys at key touch points, eliminating the delays of sourcing participants or setting up traditional studies. 2. Accelerate analysis with AI. Sprig AI categorizes open-text responses and surfaces themes across thousands of users—what used to take days now happens in hours. 3. Connect insights to impact. Sprig AI Insights help you group, quantify, and map feedback to roadmap items, so you can clearly link user pain points to product decisions. Instead of saying “this sounds interesting” after reading scattered responses, researchers can now say: “38% of users who dropped off mentioned onboarding confusion—and that aligns directly with *this* roadmap initiative.” With Sprig, qualitative data becomes a real-time driver of product decisions—not a bottleneck.

Otter.ai uses Sprig AI to quickly extract insights from over 1,000 open-text survey responses and user conversations. Here's how: Otter.ai, a leader in AI meeting agents, has been using Sprig for over two years. A few months ago, we sat down with Richard Tasker, Director of Product Management at Otter.ai, during an executive roundtable on using data to make smarter product decisions. He shared three specific ways his team is turning high-volume feedback into faster, sharper product insights: 1. They run large-scale user surveys and use Sprig AI to instantly analyze and categorize thousands of open-text responses. This helps them zero in on the voice of the customer without slowing down execution. 2. They leverage Sprig Replays to understand how users actually interact with the product. With Sprig AI layered on top, they can spot friction and uncover opportunities without hours of manual review. 3. They feed their user research session recordings into Otter.ai to summarize hundreds of conversations, helping them extract insights from voice feedback. For research teams, this is a blueprint for what’s possible when AI removes the bottlenecks. Instead of spending hours sorting through raw feedback, you can leverage Sprig AI to quickly uncover patterns and make confident, research-backed product decisions.