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From surfacing hidden landmines during duediligence to bringing entire product orgs under one cohesive vision, Brians got the battle scarsand the winsto prove it. Below, well unpack his real-world advice on making acquisitions work, retaining your best people, and aligning tech stacks for a post-merger world that actually innovates.
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.
The discussion explores practical applications of AI tools like ChatGPT and Claude in product development, including MVP refinement, customer testing, and marketing content creation. However, Mike emphasizes the importance of balancing AI capabilities with human oversight, warning against over-reliance on AI.
Far from dictating terms, PMs serve as facilitators, synthesizing input from engineers, designers, marketers, and other stakeholders to ensure that products meet customer needs and business objectives. Product managers don’t wield the top-down authority that CEOs do; instead, they lead through influence, alignment, and empathy.
Market Analysis Before and With AI Customers are clamoring for a number of improvements to your product and youre on a mission to get them funded and on the roadmap. So youre asked to do a market analysis to make sure stakeholders are confident in your plan. Executive stakeholders want things that drive growth. Is it bulletproof?
2] Market Research AI-based tools can discover user and customer trends using predictive analytics. Customer Insights and Idea Generation AI tools can analyse market data, customer feedback, and emerging trends to suggest new products and features, assuming that enough relevant data is available. Take the original iPhone as an example.
From new UX-related technologies and automation to personalization. Its influence is growing across three key areas: innovative technologies, automation of design tasks, and personalized user experiences. Together, these technologies are transforming how UX design approaches personalization, accessibility, and user interaction.
Previously, she was a senior director of product at Big Health, a product marketer at Dropbox, and designed youth advocacy campaigns with major brands like H&M and 3M that engaged millions of young people. Of course, I’m still available to review work—and I do. my team has found it invaluable.
Depth over breadth: Revolut’s leaders deliberately go extremely deep into 7 to 10 projects (out of 100 or more running simultaneously), but at a code and technical implementation level. This eliminates the uncertainty of whether poor traction is due to a bad idea or poor execution, making feedback interpretation clearer.
In this Whatfix Mobile review, youll find answers to three questions: What does Whatfix Mobile offer? In-app training and support: Deliver on-demand training for complex tasks with in-app tooltips , FAQs, and support, boosting confidence and reducing churn. Whatfix G2 review. Is it the right fit for you?
You see, although we work hard to make Userpilot the best product adoption tool on the market, we know it isnt the perfect fit for every business. In contrast, other similar tools typically focus on one specific area of the digital adoption process, whether its user onboarding, product analytics, or employee training.
Watch or listen now: YouTube // Spotify // Apple Brought to you by: CodeRabbit —Cut code review time and bugs in half. Her innovations are saving millions of dollars and helping lifesaving treatments reach the market faster. For inquiries about sponsoring the podcast, email jordan@penname.co.
The Customer Service Gap Model By ADRIENNE TAN In competitive markets, delivering superior customer value is a top priority. Customers come with a set of expectations—whether it’s ease of use, reliability, or customer support—that are shaped by prior experiences, market trends, and your product messaging.
Evolving as a Product Leader: From Execution to Capability By Adrienne Tan At a Glance The Future of Product Isn’t Just Technical. Product leaders are quick to invest in tools, platforms, and tech upgrades but often overlook the human capability needed to bring those technologies to life. It’s Human.
From market research to roadmap prioritization, AI is reshaping how PMs operate, make decisions, and deliver value. Market Research: From Manual to Machine-Learned Market research has always been a cornerstone of product strategy. K-means, DBSCAN), PMs can visualize market segments dynamically.
To better understand the common challenges organizations face with digital feedback tools, we conducted a comprehensive market research study that revealed several critical pain points. We truly believe our support team is unmatched, and we’ll let our G2 Reviews speak for themselves.
De-risking your 2025 initiatives Why every intelligent app must start with a PoC By Jill Antweiler Posted in Product Published on: January 15, 2025 Last update: January 15, 2025 As we settle into 2025, many executives are eyeing ambitious initiatives to leverage new technologies and drive innovation. But they come with increased risks.
Customers are mostly flexible with their car preferences due to the nature of the marketplace. Goals for AI/ML Integration Competitive Differentiation: Leveraging advanced AI/ML capabilities to create a distinctive market position that sets our solution apart from traditional automotive sales approaches. Image credit: Karena E.I
They require a symphony of teams — Product, Design, Engineering, Marketing, Sales, and Support — working together from idea to launch. Collaboration often breaks down due to misalignment, unclear roles, and disconnected tools. Product, Design, Engineering, Marketing, Sales, and Support must all work together to bring ideas to life.
This article provides an in-depth and honest review of the platform. It helps app owners guide new users, promote feature adoption , and deliver employee training, all within the mobile app experience. They reduce time to value by helping users train on the go (as opposed to visiting a knowledge base for every little confusion).
When data stays siloed by channel—store surveys over here, app reviews over there—it’s nearly impossible to connect the dots and holistically understand the full customer experience. The solution starts with choosing the right technology. Do we need IT resources, or can CX and marketing manage setup?
This approach can free up internal resources, reduce time to market, and provide access to niche skills, especially in emerging technologies such as artificial intelligence, blockchain, and the Internet of Things. This can include: Product strategy: Roadmap definition, market research, feature prioritization.
Satisfaction leads to positive reviews, recommendations, and increased user retention. Competitive advantage: A layout resolving major pain points sets your product apart in a crowded market. Corporate Training Apps: These are tailored for professional development within organizations. Examples include Moodle and Blackboard.
Let’s review everything your customer success team has to do in the absence of any customer success tools. Top customer success management platforms for mid-market and enterprise companies. out of 5 stars Pricing : Only available upon request, but customer reviews suggest basic pricing starts at $15,000 per year.
However, the rapid integration of AI usually overlooks critical security and compliance considerations, increasing the risk of financial losses and reputational damage due to unexpected AI behavior, security breaches, and regulatory violations. Failure to comply can result in significant penalties.
Picture this: A room full of product leaders huddled around market data like detectives at a crime scene, learning to spot the subtle clues that spell opportunity. I showed how to: Read market signals like a pro Transform gut feelings into confident choices Turn decisions into measurable wins Why? The secret?
Driven by a passion for making data actionable, Cummings advanced through the ranks in Customer Success, working diligently to bridge the gap between raw analytics and meaningful human experiences. In tech, and especially in AI, the landscape is constantly evolving.
They focus on defining the problem, crafting clear prompts, reviewing AI outputs, and refining the results. For example, what might have taken three hours of manual coding two years ago can now be accomplished within minutes by providing the right instructions to an AI tool, reviewing the generated code, and iterating quickly.
billion per year due to avoidable consumer churn. Sales may need to push harder to hit numbers, Marketing must increase spending to fill the pipeline, and Product teams scramble to address retention issues. To get the most out of AI tools, teams need foundational training and strategic preparation. companies lose $136.8
Delta is the next generation of beta testing, leveraging Centercode technology to automate time consuming tasks while increasing user engagement and test results. Cutting Support Costs with Beta Testing Test Management We all know that beta testing holds immense potential for achieving quality and marketing goals.
Delta is the next generation of beta testing, leveraging Centercode technology to automate time consuming tasks while increasing user engagement and test results. Engineers need reproducible, technical details. Engineers need detailed steps and technical context. But every audience values different aspects of the story.
Robinhood is a fintech company with a wonderfully democratic mission: to make financial markets accessible to all, not just the wealthy. The Robinhood interview process typically takes about 4–6 weeks and involves: Recruiter phone screen, Technical screen (for engineering roles), Final round.
WalkMe: Best enterprise product tour platform for employee training across desktop and web. Intuitive and simple to use, even for non-technical teams One of the reasons I hear most often from teams switching to Userpilot is how much easier it is to use compared to other product tour software. Starts at $240/month for 3,000 MAUs.
Delta is the next generation of beta testing, leveraging Centercode technology to automate time consuming tasks while increasing user engagement and test results. Some teams treat it as a final round of QA, focused on confirming fixes, catching bugs, or checking technical details. Does my target market like it?
The smartphone has become arguably one of the most transformative technologies ever invented when you consider its vast impact across the planet. The parallels between the mobile technology and AI eras are striking for those of us involved in enterprise technology and the surrounding startup ecosystem. billion by 2027.
While downloads are rolling in after months of development and a well-formed launch marketing plan, your mobile app adoption metrics show a concerning pattern: users sign up, look around, and quit the app almost immediately. Whatfix has robust employee training features, but it lacks push notifications for mobile. Congratulations!
Scalability and tech stack fit : Will the tool grow with you? That’s because we’ve built it to offer real depth without draining engineering resources or complicating your tech stack. Simple drag-and-drop builder : Great for getting started without needing technical help. You can find more reviews on G2 or Capterra.
Ive seen various online forum discussions where people often share short-term fixes like heavy marketing or minor feature tweaks, hoping to retain more users. Here are a few problems that could hinder your app user retention: No product-market fit: If your app doesnt solve a pressing problem for users, they wont stick around.
Within this article, we analyze how AI’s adoption in 2024 impacted key areas of digital CX, highlighting global trends as well as specific insights from major markets like the US and UK. Power Market Impact: Banking Industry Leads in AI Adoption A McKinsey survey indicates that AI adoption is now mainstream across industries.
Key Takeaways Healthcare SaaS market is expected to increase due to the adoption of technology such as AI, API connections, vertical SaaS, DaaS, PaaS, edge computing, and more. Table of Contents: Healthcare SaaS Market Overview Why Design a Healthcare SaaS Product?
The proximity to the US market, cultural alignment, and favorable time zones make Mexico an attractive destination for many US companies looking to augment their software development capabilities. There’s growing English proficiency among technology professionals in Mexican tech hubs, reducing potential language barriers.
Epic Systems dominates the electronic health record (EHR) market, powering over 250 million patient records across the United States. It requires comprehensive organizational transformation, strategic planning, and meticulous execution to realize the full potential of this powerful healthcare technology platform.
At least until “the pelican test” starts to contaminate model training—I’m betting next year this benchmark may no longer yield valid results after Willison showed the Google Gemini 2.5 Cramer says agentic-loop MCPs don’t work well yet (due to lack of streaming, loop waiting delays, etc.)
Whenever you are faced with an agile, dynamic environment—be it that your product is young and is experiencing significant change or that the market is dynamic with new competitors or technologies introducing change, you should work with a goal-oriented product roadmap, sometimes also referred to as theme-based. 4 Keep it Simple.
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