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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 how users engage with your product. Both embedded analytics and product analytics are designed to help product owners in diverse ways.
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?
Most product teams get mobile app analytics wrong. They track 47 different key performance indicators (KPIs) in their mobile analytics platform , spend hours debating dashboard numbers, yet can’t predict which users will churn next week The problem here isn’t a lack of data.
He was also the first head of growth at Atlassian, where he led product for Jira Agile and built the first-ever B2B growth team. The best product managers go out of their way to prove themselves wrong, because finding the flaws in your thinking will lead to better decisions.
Product discovery provides insights and evidence to make informed decisions at every stage of the Product Development Lifecycle (PDLC), ensuring the final product aligns with user needs. Yet, many teams rush into development without properly testing ideas, leading to wasted effort and failed launches. Lets dive in.
The Customer Service Gap Model By ADRIENNE TAN In competitive markets, delivering superior customer value is a top priority. One of the critical tools that can help product managers improve customer satisfaction is the SERVQUAL model or Customer Service Gap model , a framework for identifying and addressing gaps in service delivery.
We rely on our sales team’s notes We look at analytics, but lack qualitative insight We’re not sure where users get stuck What if you could guide users to value, contextually, inside your app? However, they struggled with fragmented tools, slow feature adoption, and scattered product insights.
The key isnt just understanding users but unlocking insights that lead to solutions they cant live without. Without a clear understanding of these factors, products risk failing to meet real-world demands. Without a clear understanding of these factors, products risk failing to meet real-world demands.
The visual that’s coming to mind—it’s going to sound so silly—but I’m thinking of the third Indiana Jones movie where he’s at this cavernous gap and it looks like he has to just step into the void. How do they show the data they’re using to make prioritization decisions? There’s a leap of faith.
Moreover, the product pages were shrouded in ambiguity, not providing the clarity and insightful descriptions necessary for coaxing a credit card out of hibernation. Indeed, as data suggests , streamlining the path users take through a website can significantly improve conversion funnels. Yes, you heard right75%.
Customer satisfaction (CSAT) is a measure of how well a company’s product, service, and overall experience meet customer expectations. According to a Deloitte report , positive customer experiences can lead to a 140% increase in spending compared to negative ones. If this seems like a lot, that’s probably because it is.
Todays Fintech disruptors and neobanks are igniting our brains reward centers with flashy visuals, gamified challenges and social interactivity that practically beg us to keep coming back for more. It ultimately changes how we think about financial services. Today, clients expect more than a basic straightforward financial service.
The answer lies in offering what others dontfeatures that make life easier and smarter, like real-time financial insights, savings alerts that actually help and seamless integration with the digital tools people already use. Smart insights are todays realvalue. Plain and simple, generic wont cut it anymore.
Mayur Kamat is the chief product officer at N26—a $9 billion neobank serving over 7 million customers in 25 countries—where he leads product, design, data, and research. Tight feedbackloops beat elaborate planning. Tools like Statsig, Gemini summaries, and cohort dashboards make this possible at scale.
Recommended product manager job openings in data-driven companies 1. A professional with strong analytical skills, capable of leveraging datainsights to drive strategic decisions. Analytical mindset, proven experience working cross-functionally to turn datainsights into strategic decisions.
Collaboration often breaks down due to misalignment, unclear roles, and disconnected tools. It requires intention, empathy, clear structures, and the right tools. It is not always obvious who has the final say Tool sprawl. This is where strong leadership and the right tools can make all the difference.
In this AI-first design era, tools will let one person do the job of many — prototyping, validating, deploying, and iterating faster than ever. Whether you’re a founder, designer, or PM, the ability to work visually with AI will be a key competitive advantage. AI Isn’t the Tool — It’s the Design Partner Let’s go deeper.
Whether you’re in product, UX, or strategy, this is your blueprint for a discovery framework that actually moves the needle by connecting user insight to the metrics that drive revenue. By conducting product discovery, teams can validate ideas, gather feedback, and make informed decisions about product development. What happened?
Here’s how different teams can stay customer-obsessed in a new digital-first customer landscape: CX Teams Use Digital Feedback Channels to Monitor Sentiment : Keeping a close eye on customer sentiment is vital for understanding your current user experience. Is your experience with our app meeting your expectations?
These issues appear when people acquire systems that don’t meet the needs of a supported operating department. Why should any customer choose one product or service over another, which is why it’s important to understand the competitive landscape. Analyzing Data, Solving Problems, and Making Decisions: Businesses run on data.
Back in my Salesforce days, I used to show up to executive meetings armed with a ton of passion, and just a little bit of data. Fast-forward a few years, and the good news is: we do have the data now. Level 1: Activity Metrics—Your Baseline Pulse Check It’s time to fall in love with data, even if numbers aren’t your thing.
However, the healthcare industry is one of the few fields where technological and SaaS (software as a service) solutions haven’t progressed much. Healthcare SaaS Market Overview Software-as-a-service continues to grow drastically as the healthcare industry seeks state-of-the-art software to increase versatility and accessibility.
Matching these solutions to the assorted challenges product managers face can be a little tricky, so we’ve done some digging to compile a handy list of product management tools. Data Analysis Tools for Product Management. Products can’t move forward without proper datavisualization and analysis.
Customer service people understaffed the call center because they didn’t know the marketing programs that drove demand So they got lost sales and unhappy customers who got stuck on hold for way too long a period of time. I have meetings and deadlines and interruptions and priorities that shift. Oh, here’s another one.
We’ve categorized these 30 steps as pre-launch, launch, and post-launch, but the list is designed to be modified to meet your needs. Landing pages can be set up with no cost or hassle with a tool like Squarespace or Wix. Third-party tools, like Google Analytics and Optimizely , can also be integrated with most web pages.
Wondering how to leverage customer analytics benefits to drive customer satisfaction? Customer analytics helps you seamlessly understand customers, predict their needs, and curate your offerings to their wants. TL;DR Customer analytics involves gathering and interpreting customer data for actionable insights.
Welcome to Product PickEm 2025 , where the best emerging product tool startups go head-to-head in a bracket-style competition, and YOU decide which ones rise to the top via our LinkedIn polls on the Productside page. Each round, the lowest-scoring tools get eliminated, and the best move forward. Forget the hype. Four winners.
Welcome to Product PickEm 2025 , the ultimate startup showdown where the best emerging product tools compete in a bracket-style competition. You get to vote for the tools you believe in and help crown the final winner via our LinkedIn polls on the Productside page. Metabase serves up datainsights without burying you in code.
But if you have a breather, we’re excited to share some data-backed mobile engagement findings, specifically surrounding how seasonality impacts customer sentiment! While we can hypothesize that the lack of Vitamin D certainly contributes to grumpier customers in the gloomier months, we needed data to support our claims.
There are easier, more customer-friendly ways to collect customer feedback and there are more efficient ways to analyze and act on that mobile feedbackdata. The importance of mobile feedback. It allows you to accurately hear the voice of the customer so that you can react to feedback at scale.
A strong sales and product feedbackloop avoids both scenarios. At Intercom, after much trial and error with collaboration tools, spreadsheets, email threads, etc., we’ve found the short, fortnightly meeting to be a game changer. we’ve found the short, fortnightly meeting to be a game changer.
Most SaaS companies understand the value of user feedback , but few actually have a system in place to collect feedback and customer data. Other businesses spend a small fortune on focus groups only to end up with zero actionable feedback and insufficient analytics to make data-driven decisions.
The importance of gathering mobile customer feedback. How to gather mobile app feedback . Tips to get better in-app feedback. The importance of gathering mobile customer feedback. Data shows that customers expect to be interacted with, and those interactions heavily influence retention. Love Dialog. Rating prompts.
What’s digital analytics? How can it help product and marketing teams make data-driven decisions and improve the user experience at different stages of the customer journey? TL;DR Digital analytics allows teams to measure and analyze product performance to improve their digital strategy. This could be website data (e.g.,
Product feedbackloops are the ultimate tool for scanning a user’s experience, pinpointing product shortfalls, and boosting your product. Wondering how to anchor these feedbackloops into your product? Why build customer feedbackloops? Customer feedbackloops root your strategy in data that matters.
A customer feedback repository is the place you keep all your feedbackdata. What is a customer feedback repository? A feedback repository is a central location where product teams can collect and organize customer feedback. What is the purpose of feedback repositories? That reduces risk.
What AI tools you can use. It also enhances their decision-making processes and provides insights necessary to personalize customer experiences , like onboarding flows for greater satisfaction and loyalty. There are also governance and ethical concerns, like data privacy or AI bias. AI analytics are coming soon.
This is particularly important because, according to the PWC Future of CX report, 75% of Americans decide to buy a product over others based on the CX alone. To gather and analyze user feedback, follow the strategies compiled in this blog. We also include tips for closing the conversation in an effective product feedbackloop.
In This Article: Why Gather Product Feedback During New Customer Onboarding? 5 Easy Ways To Collect Feedback During Onboarding. Mine the Data. are asking about to see if your solution is meeting their specific needs. Mine the Data. Shut Up and Listen. Frequently Asked Questions.
What is a data product roadmap? TL;DR A data product roadmap is a product development strategy where the product manager and their team use insights from various data sources to inform decisions. The difference between a data product roadmap and the traditional approach is the former relies heavily on data.
I gather data through surveys about observations. Lots of data goes into pinpointing. Inability to Scale : Difficulty in scaling operations effectively to meet growing demand or market opportunities highlights weaknesses in organizational design and adaptability. I review strategies and roadmaps.
Our recent report showed that while 73% of support leaders say customer expectations are increasing, only 42% of them believe that they’re actually meeting those expectations. Nearly two-thirds (58%) would sever their relationship with a business due to poor customer service. Does it meet my expectations and needs?
In many companies, improving engagement is a reactive process: as a product manager you wake up to a barrage of support requests after launching a new feature, or your in-app analytics reveal that new users are skipping over key functionality and never reaching their “aha!” Use Data to Refine Your Message.
Customer-obsessed PMs DO: Constantly Listen to the Voice of the Customer: Actively collect feedback through surveys, user testing, and direct interactions. Monitor social media and review platforms for insights into customer sentiment. Act on Customer Insights: Translate feedback into actionable changes and product improvements.
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