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A framework for productlaunch success Watch on YouTube TLDR In this episode of Product Mastery Now, I interview James Whitman, author of LAUNCH Code and founder of Growth Guidepost. James shares insights from his research studying companies that consistently launch successful products.
Proactive Problem Solving Doug was motivated to write Proactive Problem Solving by two pieces of data showing the impact of reactive problem solving: The average manager wastes 3.5 These principles aren’t just theoretical – they’re practical tools that any product team can implement to enhance their innovation process.
Feature Requests from Top-Level Management One of the most contentious situations product managers face is dealing with feature requests that come directly from senior leadership. Often, these requests are made without supporting data or customer feedback, which can create tension between PMs and top-level executives.
He explains that while AI might help teams get their product into a better place before customer testing, it’s important to remember that AI models are trained on internet data, not real customer thoughts and behaviors.
And of course, was the launch successful? Join Piyanka Jain, President and CEO of Aryng, as she explains why - and how - you should use data and analytics to define and track a successful launch. You'll come away with practical techniques to ensure that every future launch adds value to your product and your organization.
Every productlaunch, service ticket, and update is under the microscope of customer scrutiny. Instead of someone downloading that data later, the response instantly populates the customer’s record in Salesforce. This level of automation means: No time wasted on data entry or status checks. The challenge?
Building trust with stakeholders isnt just a nice-to-haveits essential to preventing failed productlaunches due to poor stakeholder management. Without trust, even the most well-thought-out product strategies can face pushback, leading to misalignment, delays, and increased risks.
Efficient data tracking: You can’t fix what you don’t understand. 15 days before launch , make sure you’ve: Defined clear success markers Collected a baseline of where things stand Decided how and when you’ll evaluate results A post-launch feature should be like a science experiment: hypotheses, metrics, and checkpoints.
After productlaunches and redesigns: Once a new feature or major UX redesign is live, I shift the focus to post-launch summative usability testing to measure real-world impact. Then, choose the test method based on the data you need. This structure keeps sessions focused and ensures you gather consistent data.
The most effective data storytelling happens when you customize research insights for stakeholders. In this post, youâll learn how to tailor customer insights for three key groups: product managers, engineers, and executives. Why Framing Customer Insights Improves Decision Making Storytelling with data builds clarity and empathy.
How To Gather Data for Persona Development Accurate personas depend on solid research. You need both qualitative and quantitative data to form the full picture of your users. Proto-personas give you a starting point when data is scarce, which you refine over time. Avoid these 3 common mistakes to maintain quality data.
This guide explains how user interviews work, when they are useful, and how they fit into the product development process. It covers the different types of interviews, how to plan and conduct them, and how to make sense of the data afterward. They can bias responses and lead to less useful data. What should be improved next?
The vendor managed cloud infrastructure, data pipelines, and security certifications, delivering a turnkey solution within budget. For example, many organizations now outsource GenAI implementation for email marketing, leveraging external teams with deep knowledge in large language models, reinforcement learning, and data engineering.
It involves applying user data and behavior to transform the product experience to satisfy each user’s unique needs. For example, when new users begin using your product, you can launch a welcome survey to understand their needs and tailor their onboarding experience accordingly. That is the feeling of personalization.
Furthermore, they want to know that decisions are made based on relevant data, thoughtful insights, and the right choice from a set of logical solutions. Great problem solvers use data, insights, and pattern mapping. We might see things differently if we could slow down and dig deeper. Where to End?
Strategic growth experience: Demonstrated ability to drive the growth of a consumer product, with a focus on increasing engagement, retention, activation, and creating growth loops in the product. Data-driven decision-making: Strong analytical skills, with the ability to use data to drive decision-making and measure success.
When to use this: Perfect for feature-driven upsells tied to productlaunches. Combine with strong product usage signals (hitting plan limits) to trigger personalized messaging at the right moment. When to use this: Any time a user hits 80–90% of quota: API calls, seats, data limits, or tracked users.
New productlaunches can offer similar opportunities to product designers, including generalists. You can also take the lead in organising and facilitating workshops with internal stakeholders — whether it’s to define proto-personas or align on a product vision. There are also examples of temporary core roles.
The important takeaway is that cohort analysis allows product managers to ask a very specific question, analyze only the relevant data, and take action on it. SaaS brands often launch new products and platform upgrades while using analytics to provide critical churn/retention insights. Paying customers in May.
Consider this microservices example in action: you’re an ecommerce platform and you suddenly experience a traffic spike due to a holiday sale or a new productlaunch. In such a case, the ideal solution is to focus on the services under pressure, such as payment processing or the product catalog.
In this guest post, Jaskaran Sachdeva, Product Manager at Carwow, discusses why I believe a data-driven approach is the most effective for product teams, unlike other, more knowledge and instinct-based approaches. Read more » The post An approach to a data-driven productlaunch appeared first on Mind the Product.
Lessons from launching a #2 Product of the Year on Product Hunt – for product managers. Today we are talking about getting attention for your productlaunch. Summary of some concepts discussed for product managers. [3:12] Your strategy has to be within the context of what your product is.
Today we’re delighted to launch our brand new API version 2.0 , which makes it easier for our customers to pull, analyze, and update Intercom contact and conversation data. This will more easily allow our customers to transform their data into valuable performance reports and business insights. Finding the personal in the data.
Informing the general public about your new product and how it can benefit them is easy when using the power of email marketing. Below are some tips on devising a great productlaunch email marketing campaign. An Engaging Email Design Simply filling your productlaunch emails with large chunks of text can be disastrous.
What do you need to successfully navigate the different productlaunch phases? What will it take to turn your product into a bonafide growth engine ? TL;DR A productlaunch is a three-step plan (pre-launch, launch, and post-launch) to successfully bring a new product to market.
A guide to successful productlaunches – for product managers Watch on YouTube TLDR The LAUNCH framework, created by James Whitman, offers a complete approach to successful productlaunches. The LAUNCH Framework Launching a new product successfully is a big challenge for many companies.
A lot of teams obsess about getting everything perfect for productlaunch day. All of that anxiety, and in the grand scheme of things, launch day isn’t a be-all and end-all event. All of that anxiety, and in the grand scheme of things, launch day isn’t a be-all and end-all event. There are marketing emails to assemble.
Yes, dear product managers (PM), especially if you’re not data scientists, you should be staying on top of what’s new in the world of AI. Don’t stay behind because you thought it’s the data scientist’s job. Because of that, today’s impossible might very well be tomorrow’s possible and next week’s old news.
Whether you’re introducing a new product, releasing an upgrade, or announcing advanced features, outlining a productlaunch strategy can help align your efforts in the right direction. The key is to monitor all the data and optimize your strategy at each step. That’s where productlaunch analytics step into the picture.
How do people make bad products? We chatted with Rachel Obstler, Heap's VP of Product, to understand how we can use metrics to suck less. [.] Read more » The post The data says your website sucks – Rachel Obstler on The Product Experience appeared first on Mind the Product.
Productlaunch metrics can be easily overlooked while you become busy with product development, marketing efforts, and launch timeline. A Harvard Business School study found that a staggering 95 % of around 30,000 newly launchedproducts fail. What is a productlaunch in SaaS? Pre-launch phase.
Do you want to track productlaunch success with relevant KPIs and metrics but don’t know where to start? Productlaunch metrics provide valuable insights that you can use to improve your product and increase product growth. What is a productlaunch? What are the phases of a productlaunch?
What does the productlaunch manager do? Does your organization really need such a role if you already have a product manager ? The productlaunch manager coordinates the work of cross-functional teams and supports the product manager during productlaunches. What is a productlaunch manager?
But today, the underlying backbone of all of it is the right data. While science has always been part of sales, it’s hard to ignore the increasing importance of taking a data-driven approach to growing your business. As a sales rep, you need to be comfortable understanding the data behind your pipeline.
Today, I will summarize a few aspects of this case in a structured way, more than just being data-driven. Case Category: Market sizing & Estimation, Goals & Measures Case Type: Investor pitch by a startup planning to launch smartwatches in India ?? SOM changes as per data fed into it based on assumptions.
A productlaunch marketing plan is more than a simple press release announcing your product. It is the process that guides you to a successful product release. With several productlaunches occurring every day, you need something special to ensure your announcement doesn’t get lost in the noise.
There’s a vast gap between a great idea and bringing that idea into reality: and there’s no better example than a productlaunch plan. If you get your productlaunch plan wrong, all the hard work and effort of building your product might be for nothing. What is a productlaunch plan?
It covers a broad perspective helpful to less experienced product managers all the way to those who are leading other product managers. How to think like a product manager, . Several specific tactics that extend from idea through productlaunch, and . How to think like a product manager, . * It covers: .
Productlaunch announcement emails can be intimidating. In this blog post, I'll take you through the different types of productlaunch announcement emails, the productlaunch email sequence best practices to keep in mind throughout the process, and some fantastic real-life examples to inspire you in your own campaign.
How to run new product announcements successfully. There are three ingredients to a successful product announcement: planning, timing, and placement. Don’t skip the new product announcement planning process. Find the best time for your new product announcement. New product release announcement email.
What does a successful SaaS productlaunch look like? What are the pre-launch and post-launch steps (hint: user onboarding is a part of this)? A successful SaaS productlaunch campaign consists of three stages: the pre-launch stage, the launch stage, and the post-launch stage.
What is dataproduct management? How is it different from product management ? Dataproduct management is the discipline of collecting and analyzing data to develop and improve products. Dataproducts are built around advanced data processing, AI, and machine learning.
We’ve just wrapped up another edition of New at Intercom to share our fall 2022 productlaunch with everyone. Meet the five brand-new product innovations that will drive up customer engagement this fall – including our biggest messenger update yet. The last year hasn’t been easy.
By collecting data on your customers, you can more easily plot the path your product needs to take and can ensure success by building greater demand for your productlaunch. Here's how you can master this skill to aid your product path. [.] The key to understanding your customers is behavior analytics.
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