This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Introduction to customer satisfaction surveys Customer satisfaction surveys are vital tools for understanding what customers think, feel, and experience. Surveys provide a range of insights, from quick feedback after a purchase to in-depth assessments of brand loyalty. Don’t worry, we’ve got you.
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.
90% of executives say they prefer visual storytelling over dense reports. Its a technique borrowed from the world of film and designbut it might just be the most underrated tool in a product managers toolbox. Not because the ideas are bad, but because the delivery misses the mark. They care about impact.
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. Discovery is a team sport. I did classic web development before there were frameworks back in the ’90s. I hate definition wars.
How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificial intelligence is transforming Voice of the Customer (VOC) research for product teams.
Productside | Product Management Courses & Training How WellNest Rebooted Product Strategy (eBook Preview) When product teams get stuck in backlog chaos, stakeholder noise, and reactive shipping, its not a process problem. New players are entering the market with agile teams, wearable integrations, and insurer distribution deals.
He most recently ran Product Management, Marketing, and Partnerships across Square while reporting to the CEO. Instead of placing all the burden on the manager, we need to shift our analytic lens upward, onto the skip. How do I help line managers deal with IC performance issues on their team instead of dealing with them myself?
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.” If you missed the first one on product success and team satisfaction , be sure to start there.
For more: Lennybot | Podcast | Hire your next product leader | My favorite Maven courses | Swag Subscribe now I talk a lot on my podcast and in this newsletter about the correlation between successful companies and an obsession with velocity. Her background is in developertools and distributed systems.
In previous episodes, we’ve talked about how customer feedback and cross-team collaboration play a crucial role in the features and updates we build here at Intercom. Or rather, two – conversation topics and custom reports. I focus on the reporting area where we report on all things that happen at Intercom for you.
To deliver high-quality online courses we were patching together several different tools to create a good student experience. We used Teachable as our course platform, Slack for our community, Zoom for our live sessions, Google Calendar to send out course invites, Miro for collaboration, and Mailchimp to send out course emails.
Over the course of the past year, the customer support landscape has changed for good. Most support teams have seen an influx of support queries since COVID-19 hit – and those issues are more complex than ever. According to recent research, however, many teams aren’t sufficiently equipped to meet these new challenges.
Automated customer service isn’t a new concept. As the head of our Support Ops team, I work daily with my teammates to develop automated solutions that don’t frustrate customers, but empower them. What is automated customer service? Why automate your customer service?
We live and work today in a world that is increasingly data-driven, but we cannot successfully adopt a data-driven approach to decision making without first identifying the metrics that matter most. Plus, there’s no shortage of tools to help us quantify seemingly everything. The real issue is lack of focus. In This Article.
Now there are more and more resources, like blogs, books, online courses and even training programs for Product Management. Are reading articles, taking online courses, watching videos and participating training program enough to make one a good product manager? How to learn by doing it and lead a new team at the same time?
Also known as Product Intuition or Product Instinct or Product Taste, it is the idea that you can use your own judgment to (1) accurately predict what your customers need, want and value, and (2) design and ship the right solution for them. I hope this post allows people and teams to safely talk about Product Judgment.
Well start with an overview and explore how AI can take on tasks such as analyzing user data and automated prototyping to help professionals connect with users on a humanlevel. These advancements are revolutionizing how designers approach their work, making UX more data-driven, efficient, and user-focused than everbefore.
For more: Lenny’s Podcast | How I AI | Lennybot | Lenny’s Reads | Courses | Swag Subscribe now Annual subscribers now get a free year of Bolt, Perplexity Pro, Notion, Superhuman, Linear, Granola, and more. Today, with insights from over 8,200 of you (thank you to everyone who participated!), Subscribe now.
The developers sitting nearby just watched the show for the first time, but after a while they stood up to join the party one by one. Soon the whole team was standing behind the designer’s screen shouting new ideas and tips about the layout, the colors, the icons, the fonts and everything else. What to expect from a design team?
I’m disappointed to see the rise of generative AI tools that are designed to replace discovery with real humans. I recommend teams conduct story-based customer interviews to discover opportunities and run assumption testing to discover the right solutions. Everything we do in discovery is in service of that. Don’t get me wrong.
The “shiny penny” approach (focus all your attention on the hottest tools in the market) or “head in the sand” approach (fall victim to analysis paralysis and avoid choosing any tools) are no longer viable. But here’s the thing: a tool is not a strategy. The anatomy of a marketing tech stack [with recommended tools].
No product tool or template can save you if you’re not killing it in these three areas. That’s why we’ve listed 12 tools that the best product managers use to do their jobs better? That’s why we’ve listed 12 tools that the best product managers use to do their jobs better?—?and and not the best product management tools.
You want the stakeholders’ input, but you need it to be (and need them to think) in terms of problems for you and your team to solve. People in the organization start to realize there should be reasons behind product decisions, avoiding an ad-hoc development culture. We’ll keep working on this on our next development cycle.”.
Generating data is easy. Data is often not accessible unless you can write code. People in non-technical roles rely on data every day to make decisions, develop ideas or measure success. When tools and systems are not created with them in mind, they lose trust and understanding. It doesn’t have to be this way.
“If you think good design is expensive, you should look at the cost of bad design,” Ralf Speth, a former Jaguar Land Rover CEO. The study by the Design Management Institute analyzed the performance of design-led organizations that place influential design decisions at the top as compared to the Standard & Poor’s index over 10 years.
Which of them should you choose to generate growth insights for your product? We also have a quick look at Userpilot as an alternative for each of the tools. TL;DR Product analytics is the process of collecting and analyzing data about product usage and user behavior. What is product analytics? Ready to dive in?
Ultimately, your resume should itself signal that you have the skills required to be a successful product manager on any team. You will, of course, often need to take multiple steps to land that interview. As a hiring manager, I want to hire great storytellers, s o the team can work towards a unified vision. . Data-Driven.
As a product leader, what qualities do you need to cultivate to be able to ensure your team performs to the best of its abilities? Recently I’ve been thinking a lot about teams – what is a team, team formation and development, cross-functional teams , and leading teams.
How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificial intelligence is transforming Voice of the Customer (VOC) research for product teams.
Reveal Embedded Analytics. Embedded analytics is everywhere around us – in our cars, in our homes, in our security systems, in the digital advertising that we see while surfing the web, and even in the healthcare services we are being treated with. And that is because data nowadays is everything. Especially in business.
If you've searched for this comparison, you're probably looking for a tool that will help you gain actionable insights to drive your product growth. Whether looking for an alternative to your existing tool or setting up product analytics at your organization, we're here to help. Heap vs Pendo?
A product like Microsoft Word is, of course, likely to be too big to be managed by a single individual: It requires several product people to collaborate. For example, the owner of a persistence service has to be able to describe its interfaces or APIs and converse with the users—the developmentteam members who use the service.
Productside | Product Management Courses & Training Refining Product-Market Fit and Scaling B2B SaaS Products Most startups dont stall because of bad ideasthey stall because they stop refining their product-market fit and what works. Everyones chasing the next AI feature or untapped market. Theyre problem-solvers.
Mine the Data. You have a customer who has already bought, downloaded, or signed up for your product and is getting ready to use it for the first time; they haven’t formed any bad habits, but they haven’t formed any good ones either–if you want a real “in the wild” look at how customers approach your product here it is.
According to one Microsoft Global State of Customer Servicereport , 90% of consumers surveyed said that customer service is an important factor in their choice of, and loyalty to, a brand, while nearly two-thirds (58%) would sever their relationship with a business due to poor customer service.
The right platform will equip you with the tools to interact effectively, gather valuable feedback, and build lasting customer relationships. How I chose the best customer engagement software My evaluation process combined thorough feature analysis , a careful review of user feedback, and insights from industry reports.
I asked for more work product people usually handle, I read books about technology, about the role, purchased online courses and bootcamps — anything, to inform me what I was up against and what were the skills I need to get into the role and to excel when I got there. And from then on, I wanted to learn more.
There may be times when you question yourself, or someone on your team wonders, Why are we doing it this way? In any case, hang around because well go over why UX design strategy is crucial, how to create one, and what the problems arefor you, your team, and, most importantly, your customers. Heres the thingyoudo.
Our story is not unique, of course. Similar stories have inspired new product and business development frameworks , thousands of articles, and numerous books. Companies simply ship too many poor products and features. Agile is sometimes seen as a panacea to all product development problems. The So-Lala Product epidemic.
Thats why Ive curated a list of three top product manager openings at data-driven companies, along with standout candidates who are ready to make an impact. Recommended product manager job openings in data-driven companies Looking for a job in data-driven product management ? Meta Manager, Product Data Operations Meta office.
The challenge to the product managers is to translate these into a more functional plan for our engineering team. We perceive strategy from the management as the gospel – Usually the opposite, a good leadership team usually expects the individual contributors to provide iterative feedback. Simple task, right? First Attempt.
We know it can be daunting to pick just one tool, that’s why we’ve created this listicle and compared 10 top tools and their features side by side, helping you make a faster decision. TL;DR Customer success software refers to tools that help manage customer experiences and drive customers toward their desired outcomes.
In today’s modern age, support teams simply need to redefine what being “personal” means. But with the development of automation, like bots and contextual help content, we’ve significantly changed our perception of what being personal means. If your team is pondering whether to use “bots versus humans?” What will they choose?
What is a product analytics framework and why is it important? We also look at: Different types of analyses to include in your framework How to develop a product analytics framework And, the best product analyticstools. Solid product analyticstools include Amplitude , Google Analytics 4 (GA4) , and Hotjar.
We organize all of the trending information in your field so you don't have to. Join 96,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content