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A custom ChatGPT model that helps accelerate product innovation Watch on YouTube TLDR In this episode, I interview Mike Hyzy, Senior Principal Consultant at Daugherty Business Solutions. He explains how to conduct an AI-powered design sprint that transforms product concepts into clickable prototypes in just hours instead of weeks.
Without effective UX analytics that goes beyond collecting data, you’re losing valuable customers. Unfortunately, the research backs this up, with a staggering 90% of usersreporting that they stopped using an app due to poor performance. It covers key topics, such as: Defining UX analytics.
And not because AI itself is broken, but because companies keep treating it like a science project instead of a tool that actually needs to solve problems. Itll be the ones who know how to separate hype from reality, focusing on pragmatic AIAI that works, delivers value, and integrates seamlessly into business processes.
While “use data to drive decision-making” sounds obvious, there’s a HUGE gap between saying it and doing it well. So, how do you get started with product analytics ? In this article, we’ll talk about: What product analytics is and why you need a solid strategy. What is product analytics?
When your company adopts multiple SaaS solutions to drive productivity, you unknowingly create a perfect storm for data fragmentation. Your customer information lives in Salesforce, while your support tickets are in Zendesk, your product usage data in Mixpanel, and your marketing campaigns in HubSpot. Sound familiar?
The opportunity solution tree helps visualize all the work that goes into continuous discovery. And while opportunity solution trees have become increasingly common among product teams, there’s still plenty of room for customization, both in the way you set up your trees and the tools you use to build them.
In the retail industry, customer feedback is your early warning system, your innovation engine, and your most honest performance review. The best retail companies use feedback to inform product decisions, align teams around the Voice of the Customer, and fix whats not quite working. You can download the free e-guide, here !
It’s what you do with the behavior data your app collects. And by behavior data, I dont mean installs (thats the easy part). I mean what happens after the download: howusers navigate, what features they engage with, and where they drop off. Why track in-app user behavior? How to track it?
Reveal Embedded Analytics For product owners, leveraging data is not just an advantageits a necessity. Product analytics empowers you to understand gaps in your offering and howusers engage with your product. Both embedded analytics and product analytics are designed to help product owners in diverse ways.
How to Get Started: Audit the Product Backlog: Pinpoint low-effort, high-value opportunities to drive quick results. Pro Tip: Pair your quick wins with data. A dashboard showing metrics like feature adoption or user engagement amplifies your credibility. It shows youre thoughtful, analytical, and focused on results.
Start by creating onboarding flows that are as unique as your users. Focus your attention on their painpoints , needs, and desires. Use welcome surveys to identify users’ jobs to be done and use cases. Finally, recreate the relevant path for new users. Learn how to use and read paths.
Regular touch points with customers are a pillar of continuous discovery. If you’re not regularly talking directly with your customers, you increase your risk of building a product that no one wants or needs. Regular touch points with customers are a pillar of continuous discovery. Tweet This. Tweet This.
We covered how to manage messy opportunity solution trees , the most common challenges teams face when getting started with the discovery habits, what Im working on next, and so much more. What I saw was they were talking to customers periodically. What are they doing when they engage with customers?
Today we’ll learn how to overcome some of those challenges from a product leader with experience at Target, McDonalds, eBay, and Meta, and now as Founder and CEO of Taelor. Anya’s development of Taelor offers valuable lessons in how to validate and expand upon initial product insights.
When you start interviewing customers every week, it’s easy to get overwhelmed by how much you are learning. When we use our customer interviews to collect specific stories about past behavior, every conversation can uncover dozens of unmet customer needs, painpoints, and desires (AKA opportunities).
Quantitative data alone doesn’t reveal intent, only outcomes. Thats why you need user session analysis. By combining contextual insights from session replays , heatmaps, and behavior analytics, user session analysis helps you interpret metrics through the lens of real user journeys.
Sometimes it’s because they’ve personally experienced a painpoint and want to address it. ThoughtFlow combines the visual flow of a whiteboard with the data modeling of a spreadsheet so that teams can shape their journey from an idea to its outcome without creating silos and losing context across multiple tools.
What happens when you build a product or service around what you think potential customers want, only for them to buy something else? For starters, it shows you dont know your customers well enough. But worse than that, it leads to lower revenue, failed products, and plummeting customer loyalty. The short answer: yes.
An interactive demo is a self-guided walkthrough that uses tooltips, modals, hotspots, and other interactive elements to help users quickly explore your SaaS product. In fact, the 2024 Buyer Experience Report by 6sense found that a whopping 85% of buyers establish purchase requirements before even contacting sales.
However, without qualitative feedback and behavioral insights, teams risk misreading signals, leading to frustration and churn. Numbers alone can be misleading higher engagement doesnt always mean user satisfaction. User feedback is valuable , but without data, its just opinions. Key differences between data types.
Similarly, the opportunity solution tree can be an incredibly powerful tool for keeping track of your desired outcome , the opportunities you learn about during discovery, the solutions you’re considering for each opportunity, and the experiments you’ll run to assess your ideas. It’s about finding the tech stack that works for your team.
Customer support is more business-critical than ever. But in today’s fast-paced world, your customer support can only be as effective as the technology that underpins it. Study after study shows that the vast majority of support teams are unhappy with their current customer support tech stacks. The future of support is here.
Left unaddressed, customer communication painpoints can cause dissatisfaction and eventual churn. We cover: Types of customerpainpoints. How to identify customerpainpoints. Six common customerpainpoints. Better customer support. CSAT surveys.
Customerinsights enable SaaS teams to understand them better and build products that satisfy their genuine needs. From the article, you’ll learn about different kinds of customerinsights (from product analytics and only) and the benefits of gathering them. Book the demo to find out how!
I realize that many product people have never worked in a product trio , don’t have access to customers, aren’t given time to test their ideas, and are working in what Marty Cagan calls “features teams” or “delivery teams.” It keeps us focused and ensures that we create value for the business while meeting customer needs.
This is largely caused due to not researching enough around the market you are building for understanding the target audience and spending enough time with your customers to build empathy for them and understand their painpoints. How Products Fail Without Customer Empathy. First Principles of customer empathy.
With Userpilots mobile solution , you can personalize in-app flows, trigger context-aware push notifications, and capture real-time insights: all without writing a single line of code. To show you how, Ill cover seven strategies that smooth out friction, enhance user engagement, and turn one-off app downloads into returning customers.
And Im not talking about pretty visuals for the sake of it. I mean frictionless, user-obsessed, data-driven design choices that guide your customer from just browsing to Add to Cart without ahiccup. The secret often lies in the art of User Experience design. So, what exactly is a conversion funnel ?
Think about all the insights you could gather to improve the user experience. In this article, you will learn: What session replays are and how they work. How they’re different from heatmaps. How to analyze them. How do session recordings work? Every click, scroll, hover, or keystroke?
With infinite choices and limited bandwidth, how do you decide what to prioritize when it comes to improving your mobile customer experience? Learning more about your customers is the best place to start. Step #1: Capture mobile customer feedback. Step #2: Analyze the qualitative and quantitative data.
Tracking user behavior analytics in mobile apps is a whole different challenge compared to the web. Without a global DOM or easy auto-capture tools, tracking mobile app user behavior takes more planning. And the behavioral data you do collect depends on what you choose to track and how you track it.
Firstly, Jeff as a new umbrella brand for all the new services will be providing to our customers; Secondly, a new business line called Beauty Jeff was opening the very first venue in Argentina. For product leaders, that means taking a step back to build a team that can be customer-centric and deliver ongoing innovation to the market.
Its about building a repeatable system that drives discovery, boosts engagement, and keeps users coming back. In this article, Ill tell you how to: Increase user acquisition with ASO and referral programs. Boost user engagement by improving onboarding with personalization and gamification.
Instrumentation & RecruitmentSetting the Stage for Effective User Interviews Part 2 (of 5) of the UX Research Playbook series Previously in Part 1 of The UX Research Playbook series, we explored how to set UX research up for success by crafting well-defined research goals within a structured framework.
I’m disappointed to see the rise of generative AI tools that are designed to replace discovery with real humans. But when we use generative AI to replace customer interviews , to generate opportunity solution trees , or to do our thinking for us, we fundamentally misunderstand the purpose of discovery. Don’t get me wrong.
We do this because it is difficult to predict whether a feature will indeed help us meet a particular outcome. Hypotheses are only useful if we test them (with customers), to validate or discard them. Obstacles are often linked to the painpoints that customers currently experience [here in their shopping journey].
Interested in customer segmentation analytics but don’t know where to start? In the article, you will learn how to do it, step-by-step. We also cover: The benefits of customer segmentation analysis. Best segmentation and analyticstools. How is it different from market segmentation? The purpose?
A self-servicedata platform is the backbone of informed decision-making and a growing SaaS business. But how do you choose the right data platform for product analytics ? Let’s go over what a data platform is, its importance, and the must-have features you should consider to choose the right platform for you.
A customer journey can be defined as the interactions a customer has with your brand from the very first time they engage with you to the point of purchase. What are the steps of the customer journey? At each phase of the customer journey there are touchpoints. What is a customer journey map?
Scaling a product isnt just about selling moreits about refining product-market fit, unlocking the right growth levers, and making sure your go-to-market strategy actually aligns with what your customers need. Rachel shares how shes helped SaaS products scale from $1M to $10M in a year. Dont miss Rachels insights.
Understanding how to analyze survey data doesn’t have to be complicated. With the right survey questions, you can gain insights into what your customers like and dislike about your brand, products, and services. The two main types of survey data are quantitative data and qualitative data.
Lisa began her career in data science and spent four years as a data scientist at Airship , a marketing and messaging automation company. During her tenure as a data scientist, Lisa built two predictive products. Lisa says, “We led with ‘What can we predict?’ Tweet This. Tweet This.
Surveys, combined with open text analysis, however, hold immense potential for uncovering deeper customerinsights from customer feedback. In this post we explore how to effectively incorporate open text analysis into your CX survey strategy to unlock those deeper customerinsights.
If you really want to build a product your users love, removing userfriction entirely is not the answer. If frictionpoints were universally bad, no product would have security checks, confirmation dialogs, or multi-step workflows. Such critical steps prevent users from making irreversible decisions.
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