How we built AI in Dovetail—magic analysis
Dovetail Blog
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5d ago
Analyzing customer data can be a daunting task. Whether you’re digging into dozens of interview transcripts or synthesizing survey results, the process is often repetitive and time-consuming. That’s why we created magic analysis in Dovetail—to take the heavy lifting off your plate and let you focus on the insights that matter. Today we’re delving into our approach to AI integration in magic analysis and how you can harness Dovetail’s AI capabilities effectively to get closer to your customers. Uncover patterns, identify themes, and make sense of complex data—all while staying in control of you ..read more
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How we built AI in Dovetail—magic search and Ask Dovetail
Dovetail Blog
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1w ago
Quick! A product or design decision needs to be made. Evidence to support a point about your customers’ use case needs to be gathered. Context about a pain point needs to be gained. Where do you start? For many of our Dovetail users, this starting point has been the trusty search bar. And recently, with the addition of magic search in Dovetail and Ask Dovetail in Slack, we’ve made it easier than ever for teams to get instant, evidence-backed answers to natural-language questions. How our search function works We use a hybrid search process that combines full-text (keyword-based) search with se ..read more
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Dovetail in the details: 19 updates to help teams build a single source of truth for customer feedback
Dovetail Blog
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2w ago
With our second Insight Out conference just around the corner and the momentum from Dovetail 3.0 still fresh, we’re thrilled to see how you’ve embraced our AI-powered features to accelerate analysis and uncover the insights that answer your biggest customer questions. To help supercharge your efforts, our team has delivered 19 impactful updates to help your team build a single source of truth for customer feedback. Here’s what’s new. Instant analysis Spend less time on manual work and let AI do the heavy lifting. These updates make it faster than ever to transform raw qualitative data into act ..read more
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How to analyze customer calls in Dovetail
Dovetail Blog
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3w ago
Imagine you've just finished a series of customer calls. You’ve captured gold. Hours of rich customer feedback that your team can now use to help drive better decision-making across the entire organization. But how do you transform these conversations into meaningful insights that can truly inform more customer-centric decisions? When it comes to analysis, the devil is in the details. Customer analysis is like panning for gold—the valuable nuggets are there, but they're mixed with a torrent of sand and silt. You need a way to sift through the flow, isolating those precious pieces that will tru ..read more
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How we built AI in Dovetail—Channels
Dovetail Blog
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3w ago
Great products and experiences come from teams that really know how to put their customers first in every choice they make. But how do the best teams pull this off? They make the most of customer feedback. Customer feedback offers direct insights into user needs and preferences that can inform more customer-focused decision-making. For many teams though, extracting valuable insights amid a deluge of customer feedback can be like trying to drink from a firehose—overwhelming and futile. This is because often, organizations are dealing with loads of data—support tickets, NPS results, survey respo ..read more
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How we built AI in Dovetail
Dovetail Blog
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1M ago
In 2024, we announced a host of new AI-powered capabilities in Dovetail, also known as our Magic features. It was a culmination of extensive work by our engineering team, and came to life across several existing Dovetail features, as well as brand-new products such as Channels and Ask Dovetail. It’s been over two years since the initial release of ChatGPT, which unleashed the new age of generative AI. It can be difficult to remember those early days when AI and ML transformed overnight from aspirational buzzwords to the most exciting (and controversial) technology in recent memory. That is par ..read more
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A PM’s guide to evaluating post-launch sentiment with Channels
Dovetail Blog
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1M ago
As a product manager, you’re constantly pushing to build and release new features that differentiate your solution in the market. But shipping features is only half the battle—understanding how users react to these solutions is critical. Over time, this understanding helps you to cultivate the deep customer knowledge that lets you build a product roadmap strategy that you stand confidently behind. This is also critical for aligning stakeholders including designers, engineers, and leadership so that you efficiently work together towards your shared goals. The challenge? Finding time to dig thro ..read more
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Channels is helping product teams stay on top of trends—here’s how
Dovetail Blog
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1M ago
Customer feedback holds the key to building better products and experiences. But let's face it, sorting through mountains of support tickets, app reviews, and customer chats can be daunting. With Channels, product teams can automatically turn continuous user feedback into real-time, actionable insights. Here’s how anyone in your product team can use Channels to stay on top of trends and decide with confidence what to build next.  Go from overwhelming feedback to true focus Dovetail’s purpose-built AI automatically processes continuous streams of customer feedback data and instantly classi ..read more
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How to power up your research efforts with an insights hub
Dovetail Blog
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1M ago
To deliver optimum product experiences, you need actionable customer insights. But many businesses are unable to efficiently uncover the insights that are going to move the needle for customers.  Researchers often find themselves in a tug-of-war between teams misaligned on goals. And typically there’s no way to easily centralize customer data.  Cutting through the noise can be made simple with a customer insights hub. With Dovetail, you gain an AI-powered, single source of customer knowledge. Gather, store, and analyze data for actionable insights that bring the voice of your custome ..read more
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Five things you must have in your customer insights hub
Dovetail Blog
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1M ago
Without the right research infrastructure in place, identifying meaningful insights from piles and piles of qualitative customer data can be like finding needles in haystacks. For research teams and their stakeholders, using a customer insights hub can be what brings those insights to the forefront. Done right, it’s the muscle that makes product decision-making faster, lower risk, and more customer-centric. But beware. Not all customer insights hubs are built the same. What is a customer insights hub? If customer insights are the fuel that helps your product team make better decisions, a great ..read more
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