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Are You Stuck in a Roadmap Delivery Trap Without Knowing It?

Strong planning often lacks the crucial 'why' behind building products and addressing customer needs.
Roadmaps should allow for exploration and not just focus on pre-approved features for delivery.
Delivery-driven approaches may lead to building products without addressing real customer problems or testing ideas efficiently.
Comparing a chatbot implementation shows the difference between delivery and product-driven approaches.
Product-driven organizations prioritize understanding customer needs and iterating based on real data and feedback.
Roadmaps are meant to guide direction, not dictate exact solutions, emphasizing the importance of leaving room for discovery and adaptation.

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From Vision to Tactics: Delivering Your Products

VMOST framework includes Vision, Mission, Objectives, Strategies, and Tactics to align product development with the ultimate purpose and prevent drift between strategy and implementation.
Product Vision serves as the aspirational destination guiding every decision, while Mission defines the product's current purpose and target audience.
Objectives are time-bound targets translating Mission into measurable outcomes, and Strategies outline high-level approaches to meet Objectives.
Tactics are concrete actions that bring Strategies to life, connecting day-to-day work to the overarching Vision.
Visualizing and reviewing VMOST layers together provides clarity, shared language for success measurement, and alignment between product plans and company ambitions.
Workshop steps involve Vision Refinement, Mission Crafting, Objective Setting, Strategy Mapping, Tactic Brainstorming, and Validation & Prioritization.
Deep Ecosystem Connectivity and Adaptive Editing Experience are examples of tactics mapped back to strategies and objectives to align with corporate goals.
VMOST should be integrated into daily activities to avoid becoming shelfware, and regular reviews are essential to keep the framework relevant in dynamic environments.
Beware of treating VMOST as a one-time exercise; schedule quarterly reviews to ensure alignment with changing market dynamics and customer needs.

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Leader Spotlight: Building a scalable, flexible LMS, with Matthew Pizzi

Matthew Pizzi, Director of Product at Contentstack and former owner of Train Simple, shares insights on building a scalable LMS.
He emphasizes personalization, scalability, and flexibility in creating Contentstack's Academy.
The Academy offers omnichannel flexibility and supports various learning styles.
Feedback from diverse user roles is crucial in shaping the platform's development.
Balancing scalability with flexibility was a major challenge during the build process.
Stakeholder management focused on transparency, collaboration, and maintaining alignment.
AI is leveraged to optimize content creation and enhance user experiences in Academy.
Future plans include advanced personalization using AI and expanding Lytics capabilities.
Opportunities for automation, adaptive learning paths, and enhanced learner support are highlighted for Academy's growth.
Matthew envisions Academy 3.0 with a reimagined user experience and more personalized journeys.

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Medium

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Putting the Y in Accessibility: My Notes from the Google Building for Everyone Summit 2025

Attending Google’s Building for Everyone Summit 2025 showcased prioritizing accessibility resulting in a magical experience.
Key takeaways include the power of storytelling, collaboration in product development, and the significance of data inclusion.
Expressive Captions and the journey of its implementation demonstrated the impact of storytelling and persistence.
Data inclusion, particularly from underrepresented groups, is crucial for developing inclusive tools like Google Translate.
Understanding the 'why' behind actions and stories, like with Tamika Catchings, is essential for empowerment and impact.
Personal experiences, such as the author's relation to a sibling with autism, drive a commitment to accessibility and inclusion.
Designing with empathy and inclusivity leads to impactful projects, like the author's fundraising gala website for children with special needs.
Advocacy for inclusion extends to empowering various groups, such as women in computer science, LGBTQ+ individuals, and underrepresented minorities.
Continuous reflection on purpose and driving factors behind work is emphasized for meaningful contributions in tech and beyond.
The importance of considering diverse user needs and asking 'why' to spark innovation and inclusivity is highlighted throughout the article.
The article emphasizes the power of intentionality, collaboration, storytelling, and empathy in creating inclusive technology solutions.

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The Formula

Sometimes solutions come in the form of a hidden formula that was always there but overlooked.
Andrew Chen explains overcoming the 'chicken and egg' issue in two-sided networks by strategically creating activity on a platform.
Having a formula can be beneficial in navigating challenging situations both in work and personal life.
A personal anecdote is shared about uncovering the formula for success when facing weight issues through intermittent fasting.
Relying solely on effort might not be as effective as having a well-thought-out formula for success.
The importance of having a playbook of strategies to increase the likelihood of success is emphasized.

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Medium

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Uncommon Sense: Why Your Intuitive Design Might Be Broken

Intuitive design is not universal and is based on learned patterns and cultural defaults that feel natural to specific cognitive frameworks.
Examples like the toilet seat position debate and the different interpretations of ordering 'tea' in Malaysia and London highlight how expectations shape interactions.
Our cognitive defaults can make products incomprehensible to users who do not share the same cultural frameworks.
The article delves into how seemingly obvious design choices can become obstacles when they conflict with users' cultural backgrounds.

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Medium

350

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Apple Just Shattered the AI Hype — And No One’s Talking About It

In June 2025, Apple's research team released a paper titled 'The Illusion of Thinking' on the eve of WWDC, challenging the concept of 'thinking.'
The study, conducted by prominent researchers, explored the limitations of large reasoning models (LRMs) in AI research.
The researchers found that LRMs excel in a narrow range of puzzles but struggle with simpler tasks and more complex challenges.
LRMs simulate internal reasoning by chaining thoughts token by token, but their performance falters outside a specific range.
Apple's paper signifies a strategic shift rather than an apology, indicating a focus on on-device privacy, human-centric quality, and deploying reliable AI tools.

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Why Micro-Engagements are Essential in 2025

Traditional solutions to client requests lack creativity and trust-building in working with an outside partner.
Data-driven, AI-powered strategies are now essential due to global economic uncertainty.
Chopping rates is criticized as a weak solution that doesn't build trust with clients.
Results-based pricing offers protection but requires extensive information sharing and contracting processes.
Micro-engagements serve as starting points leading to larger projects, offering workshops and assessments.
Firms often avoid micro-engagements due to perceived lower margins and higher selling costs.
Micro-engagements are common across industries and offer tangible outputs, minimizing risks for clients.
They foster mutual vetting and deeper knowledge sharing, leading to successful subsequent partnerships.
Livefront, a digital product consulting firm, emphasizes micro-engagements to build long-lasting client relationships.
Their approach has resulted in high client NPS and trust in their ability to deliver successfully.

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Medium

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5 Real Things to Focus On After Launching Your MVP (That Aren’t Growth Hacks)

After launching your MVP, it's important to focus on meaningful actions beyond growth hacks.
Transitioning from the excitement of building to finding users who love your product can create uncertainty.
For founders without a team or large following, it's crucial to identify the next steps.
Test if your product resonates emotionally with users and provides real value.
Iterate on user feedback consistently to improve the product experience.
View the MVP as a tool for curiosity and feedback, not a final product.
Prioritize one focus area each week to make progress efficiently.
Consider what aspects of your product would prompt users to talk about it.
Embrace post-launch vulnerability and seek genuine feedback from users.
Engage in emotional conversations and feedback to gauge user satisfaction.
Post-launch is a delicate phase, where doubts and fatigue are common.
Know that mentorship and support are more valuable than quick growth strategies.
Seek guidance from experienced individuals or consider utilizing an AI business coach.
Exploring emotional resonance in user interactions can lead to valuable insights.
Take time to reflect on user experiences and iterate on features to enhance user delight.
Post-launch phase requires empathy, feedback, and a focus on user satisfaction.
An individualized approach to improving the product is key to long-term success.
Taking steps to understand user emotions and experiences can drive product development effectively.

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Stop Shipping Garbage: The Common-Sense Crisis — Why 80% of Features Go Unused

Building products without genuine care for users often results in features that go unused and wasted resources.
Relying solely on methodologies and frameworks can lead to a disconnection from reality and the needs of users.
The Standish Group's audit revealed that about 80% of software features are rarely or never used, demonstrating a significant inefficiency in product development.
Designing products in isolation, without real user insights, is likened to navigating blindfolded, risking financial and time losses.
Overemphasis on speed rather than impact leads to the creation of irrelevant features that do not address user needs.
Ignoring users' perspectives and preferences can result in catastrophic blind spots, as seen in various product failures.
Developing products based on buyer preferences rather than user needs can lead to wasted resources and market failures.
Delivering delight and emotional connection is crucial for product success, as usability alone is not sufficient to drive user engagement.
Genuine leadership involves acknowledging uncertainty and fostering a culture of genuine learning rather than projecting false confidence.
Observing and understanding real users through contextual inquiry is highlighted as essential for creating impactful and successful products.

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Medium

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AI Insights Series #5: Using AI for User Research and Interviews

User research is essential for product management as it provides insights into the target users.
AI can enhance traditional user research methods by making them faster, more scalable, and objective.
AI can support various stages of the user interview lifecycle, from preparation to insight generation.
AI aids in planning interviews by tailoring scripts, transcribing recordings, and organizing insights.
AI tools like Whisper, Otter, or Fireflies can generate real-time transcripts, saving time on manual transcription.
AI helps in comparing interview responses at scale, identifying subtle patterns or themes that humans might miss.
AI bridges the gap between qualitative interviews and data-driven decision-making by quantifying sentiments or themes.
AI assists in synthesizing research findings into clear and actionable summaries for stakeholders.
AI ensures researchers do not start from scratch, tailors interview scripts, and helps newer teams or fast ramp-ups.
Using AI for user research enables moving from anecdotal evidence to defensible insights for feature prioritization.
AI tools support effective communication of research insights, aiding stakeholders in making quick and confident decisions.

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Medium

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o3-Pro Is Here. It’s Built for Builders, Not Demos.

The o3-Pro model is designed for practical use, focusing on solving real problems with structure, logic, and data.
The AI's emphasis is more on being a tool for builders rather than engaging in demos or creative displays.
The model shift indicates the direction AI technology is moving towards.
This change benefits users by making it more feasible to build internal tools or B2B workflows without incurring high API expenses.
For teams developing tangible products, this shift is significant.
Startups looking to enhance efficiency and productivity can benefit from the automation and internal tooling capabilities of o3-Pro.
The emphasis of the model is on providing leverage rather than focusing on flashy features.
Building, shipping, and solving real problems is made more accessible with tools like o3-Pro.
Utilizing products like o3-Pro is beneficial for individuals aiming to delve into product development and execution-focused projects.

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Medium

How to Write a Winning Product Manager Resume in 2025 (with Examples & Tips)

In 2025, recruiters still heavily rely on resumes for initial screenings, aided by AI-powered Applicant Tracking Systems.
A product manager resume should be simple, clean, and easily scannable with professional fonts like Inter, Roboto, or Arial.
The essential sections of a product manager resume include full name, location, email, phone, LinkedIn, and portfolio URL.
Avoid adding age, photo, or full address in a product manager resume.
It is advised to tailor each resume for the specific job by using keywords from the job description.
Using the STAR format (Situation, Task, Action, Result) with metrics is recommended for showcasing accomplishments.
Including the highest education and relevant product certifications in the resume is beneficial.
Adding a link to a product portfolio or case studies can enhance credibility.
In 2025, AI resume screening is prevalent in large companies, and using tools like Jobscan, Resume Worded, Canva, Rezi, Enhancv, and Novoresume can be advantageous.
A product manager resume in 2025 should ideally be 1 page long for under 10 years of experience, with a maximum of 2 pages for more experienced individuals.
Including job-specific keywords like 'user testing', 'MVP', and 'OKRs' is recommended in a product manager resume.
While not mandatory, adding a portfolio link can increase credibility and boost chances for product manager roles.
Incorporating side projects or apps in a resume demonstrates initiative, product thinking, and execution skills.
Certifications from programs like HelloPM, Product School, and Pragmatic Institute are highly valued and can be beneficial for product managers.

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Medium

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Give It Away

The importance of sharing ideas and plans for success is emphasized in a story about a designer who faced challenges due to not consulting with others.
The designer created a perfect car design but faced resistance from the engineering team at 'ModernCarInc' due to various reasons.
On elements like doors, colors, and windows, the designer's innovative ideas were met with objections related to regulations, sales strategies, and cost concerns.
The story highlights the importance of including team members' input in projects to boost morale and ownership.
Ownership within a team is crucial for project success and is linked to how much team members are invested in the project.
Encouraging team participation and incorporating their ideas into the final product is key for a successful outcome.
Seeking advice from respected leaders and presenting ideas as options can help gain support and foster collaboration.
Giving away ideas and making room for others' contributions is essential for innovation and project acceptance.

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Medium

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Product vs. Solutioning: Lessons I Learned the Hard Way as a PM

The author, a Product Manager, realized they had fallen into the trap of solutioning, actively designing custom solutions, and drifting away from building the product.
Solutioning felt rewarding in the short term but was a deceptive practice that could distract from long-term impact by rewarding immediacy.
Product Managers often slip into solutioning, neglecting to make the product self-explanatory, self-selling, and scalable.
A specific example highlighted how a complex custom solution for a client led to technical debt, roadmap deviation, and distraction.
While solutioning is necessary for Sales Engineering and Solution Architects, a Product Manager's role is to enable rather than lead it.
The author shared steps taken to bring balance back, such as creating a structured solutioning playbook, running enablement sessions, and allocating dedicated time for deep product work.
By reducing involvement in ad-hoc calls and focusing on strategic product work, the author regained control over roadmap planning and productive conversations.
A shift towards proactive product mindset over reactive solutioning mindset was emphasized, encouraging Product Managers to focus on building products that solve problems effectively.

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