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Indian Corporate Malpractices: The Disturbing Reality Behind Legacy FMCG Brand

An individual shares their disappointing experience with an Indian FMCG brand, highlighting financial irregularities and delayed payments.
The individual abandoned their own promising project to join the company but faced career setbacks as a result.
The declining reputation of such legacy companies in India and their toxic cultures are deterring talented individuals, especially from Gen-Z.
The individual vows to publicly name the company if the situation remains unresolved, emphasizing the importance of accountability and fair treatment in the corporate landscape.

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Medium

327

Navigating the Product Lifecycle

Introduction: This is the launch phase. Your product is brand new, and awareness is low. Your primary focus here is building that awareness and generating initial demand.
Growth: The product is gaining traction! Sales are increasing, awareness is spreading, and competition is starting to emerge.
Maturity: The market is saturated. Sales growth slows down, and competition is fierce. Your focus shifts towards maintaining market share and maximizing profitability.
Decline: Sales are declining, and the product is losing popularity. You need to decide whether to revitalize the product, harvest its remaining value, or discontinue it.

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19 Likes

Medium

263

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Falsehoods software teams believe about user feedback

The article discusses common assumptions that software teams make about user feedback.
Teams tend to overreact or ignore serious issues by assuming these false assumptions are always true.
The author provides a list of these false assumptions to highlight the importance of considering edge cases.
The article emphasizes the need for productive communication and careful assessment of user feedback.

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15 Likes

Medium

103

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The Only Way to Build Great Products

A product vision is crucial for building great products as it defines what you're trying to achieve.
The vision should focus on the fundamental change in users' lives, not just features or technology.
To define a powerful vision, use the 'Why' technique to uncover the core human need or motivation.
For example, if your product helps people schedule meetings more efficiently, the deeper purpose could be enabling effective time management.

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Logrocket

366

Image Credit: Logrocket

Why you should stop obsessing over story points

Story points aim to provide relative units of complexity in estimating tasks, replacing traditional time-based estimations.
Benefits of story points include improved predictability, faster velocity estimation, and applicable insights for team members.
However, challenges arise in practice, such as difficulties in communication and translating story points to stakeholders.
Agile frameworks' widespread use led to the misconception that story points are suitable for all situations, which may not be the case.
Story points work well for constantly changing teams and ambiguous projects but may not be ideal for stable and predictable projects.
A balanced approach is suggested where both time-based estimates and relative units like story points are used based on the context.
Using story points for high-level project scale and time-based estimates for detailed sprint planning can provide a more comprehensive view.
In making decisions on using story points, consider factors like team stability, project ambiguity, and the need for clarity in communication.
Story points are a valuable tool but should not be universally applied; adapt the estimation approach based on the specific project requirements.
It is important to not force the use of story points and to prioritize clarity and practicality in selecting the estimation method for each situation.

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Medium

237

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Why Documentation Is Essential for Anyone Managing Products

Documentation is essential for anyone managing products as it provides a user manual for the product and saves time in the long run.
Documentation allows for revisiting past decisions and justifying choices, leading to learning from mistakes and better decision-making.
Well-documented products aid in efficient onboarding of new team members, reducing the need for repetitive explanations and misunderstandings.
Documentation reflects professionalism and demonstrates control, foresight, and efficiency, earning trust from stakeholders and recognition from leadership.

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UX Design

237

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Designing on thin ice

The introduction of the Scottish Avalanche App highlights the importance of product design in life-saving situations.
The app, Be Avalanche Aware (BAA), aims to help people plan safer routes, understand avalanche conditions, and make better decisions in the mountains.
In 90% of avalanche cases, people trigger the avalanches themselves - the need for greater awareness of the risks is evident.
BAA's success in the field and its impact on reducing accidents can be measured by its effectiveness in helping users navigate through the high-risk mountain environment.

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Medium

Image Credit: Medium

Beyond Roadmaps : Why Radical Product Thinking is a Product Manager’s Survival Kit in the Age of AI

Radical Product Thinking (RPT) offers a thorough methodology for creating transformational products, emphasizing responsibility in building successful products, especially for AI and data products.
In a dynamic technology landscape, RPT addresses core issues and the need to integrate AI and Data into digital product ecosystems, moving beyond traditional product management practices.
AI-driven products require a vision-centered approach, as traditional roadmaps and linear planning fall short due to the probabilistic nature of AI models.
RPT prioritizes vision-fit over a 'feature factory mentality', advocating for a deep understanding of pain points, design alignment, and strategic capabilities in creating AI products.
Survival statements, balancing vision and risks, are crucial in developing shared understanding and prioritization within AI product teams.
Iteration and user input play key roles in RPT, emphasizing hypothesis-driven execution and measurement, steering away from traditional product metrics towards AI product-centric evaluations.
Ethical considerations in AI products necessitate product leaders to adopt a proactive and transparent approach, championing responsible AI practices to earn user trust and societal impact.
Radical Product Thinking advocates for a game-changing approach in managing AI-driven products, ensuring profits from vision-focused and responsible products that drive transformative change.

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Medium

388

Shubham’s journey: From APM to Product leader — A Handbook for Aspiring Product Professionals

Shubham’s journey: From APM to Product leader — A Handbook for Aspiring Product Professionals
Phase 1: The Crucible of Execution (APM/PM1) — Mastering the Foundation
Phase 2: The Birth of Strategic Thought (Independent Thinker & Executor) — Finding Your Voice
Phase 3: The Architect of Vision (The Strategist) — Shaping the Future
Phase 4: The Symphony Conductor (The PM Leader) — Empowering Teams

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23 Likes

Medium

133

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Gen Z Is Redefining Product Expectations — Are You Ready?

Gen Z is reshaping industries, behaviors, and product strategy with their changing expectations.
They seek brands with values aligned to sustainability, inclusivity, and ethics.
Gen Z expects brands to meet them across different platforms and prefer community-focused experiences.
They actively engage with brands through UGC and desire direct access to product teams.

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8 Likes

Medium

233

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Why Manual Event Tracking Fails?

Manual event tracking errors lead to bad data, wasted time, and inaccurate insights.
Reasons for manual event tracking failures include wasted developer hours and inconsistent event definitions.
TrackSure offers a centralized event management dashboard, auto-generated tracking code, real-time event validation, and version control for event tracking.
Automating event tracking with TrackSure leads to higher data accuracy, better decision-making, and reduced developer workload.

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14 Likes

Medium

163

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AI Is Not the End of Product Thinking. It’s a Wake-Up Call.

Classical product frameworks like funnels, flows, and personas are limited when faced with the chaos of real human behavior that AI has revealed.
AI has uncovered the complexity and unpredictability of user behavior, highlighting the need for new approaches in product design.
Shift from defining users to understanding their emotional, cognitive, and behavioral movements in real-time to create adaptive systems.
Proposes treating products as state machines that respond, adapt, predict, and learn based on user states and behaviors.
AI tools enable PMs to build responsiveness by inferring user states, suggesting personalized actions, detecting shifts, and running micro-experiments.
Emphasizes the importance of observing user behavior in real-time over traditional planning methods in dynamic systems.
Utilizing AI for emotional precision, timing, and trust in product design to create a more engaging and alive user experience.
Measuring the health of the system and the emergence of new user behaviors is prioritized over conventional product metrics.
Moving towards orchestrating evolving systems rather than optimizing individual features, emphasizing coherence over control.
AI challenges product thinking by necessitating a shift from speed to structure and from optimization to orchestration.

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9 Likes

Medium

384

Top 10 AI Skills to Learn in the Age of Artificial Intelligence

Platforms like Google’s Vertex Explainable AI and IBM’s AI Fundamentals offer beginner-friendly approaches to understanding key AI concepts.
No-code machine learning tools like Obviously AI and Google’s Teachable Machine are enabling easy construction of predictive models without coding.
Data storytelling and visualization skills are crucial for making AI insights actionable and impactful in decision-making.
AI-augmented decision-making involves understanding how to incorporate AI recommendations into decision processes effectively.
Learning basic principles of prompt engineering can significantly boost the productivity of AI applications.
Domain expertise is valuable in successfully executing AI projects, especially in industries like healthcare, finance, and marketing.
AI project management skills are essential for leading successful AI implementations without technical expertise.
Understanding AI ethics and responsible implementation is crucial in addressing biases and ethical issues in AI systems.
Being able to select and evaluate AI tools based on business requirements is a key skill in AI adoption decisions.
Adopting an eternal learning mindset for AI is essential to keep up with the rapid pace of advancements in the field.

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23 Likes

Medium

116

Image Credit: Medium

Designing Let’s EV’s Service Module Ecosystem

Let’s EV aims to develop a Service Module to streamline fleet maintenance, minimize downtime, and ensure warranty compliance.
Challenges faced by Let’s EV's service operations included the absence of standardized processes and a small team managing over 1500 leased vehicles.
The Service Module successfully streamlined the vehicle servicing process, addressing inefficiencies and manual bottlenecks while ensuring warranty compliance and scalability.
Automated workflows, centralized documentation, and improved coordination reduced downtime, enhanced customer satisfaction, and safeguarded vehicle resale value.

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7 Likes

Medium

Image Credit: Medium

Case Study: Enhancing Spotify User Engagement with a Mood Slider Feature

Spotify aims to enhance user engagement with a Mood Slider feature.
The feature is designed to address the emotional aspect of music discovery by allowing users to set their current mood.
Through a lightweight interface, users can select the emotion they are feeling, which then influences song recommendations.
The implementation of the Mood Slider is considered an MVP approach, delivering immediate value and deepening user engagement.

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