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People don’t think what they feel: Understanding “surface-level intent”

Surveys and direct feedback are useful tools, but they must be interpreted with caution.
Survey responses can be misleading, referred to as 'surface-level intent.'
Surface-level intent can be transient and may not reflect future behavior.
To gain a more accurate understanding, organizations should supplement survey data with behavioral data and contextual inquiries.

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Medium

267

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EP 1: How It All Started

A fan of the Korean national team created an app to make friendly bets on matches.
The app allowed friends to predict starting lineups and final scores for matches.
The goal was to create something fun for soccer fans and promote the local K League.
The creator spent hours after work developing the app.

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Medium

102

How Technical PMs Can Write PRDs That Drive Business Impact: A 3-Step Framework

To write impactful PRDs, Technical PMs should avoid technical terms and focus on concise, compelling language.
Using a zoom structure, Technical PMs can start with a high-level summary and then provide details for both business and technical audiences.
Incorporating AI tools can help shape PRDs and provide insights into the broader AI landscape for product managers.
Structuring the PRD in layers, from Executive Summary to Technical Details, allows readers to engage at their comfort level and keeps the main focus on business impact.

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Medium

436

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High-Impact and Inspirational Communication

Effective communication is crucial for leading high-performing teams and inspiring belief in the organization's vision.
Craft messages that resonate with stakeholders and motivate teams to excel by focusing on impact and relevant KPIs.
Frame challenges as opportunities for solutions, control the narrative in meetings, provide context for tasks, and define actionable next steps.
Show empathy, encourage feedback, be vulnerable, collaborate across departments, and tailor messages to stakeholders' priorities.
Use stories to convey data effectively, keep communication authentic, use vivid details, and give credit to the team.
Understand Maslow's pyramid and 'The Five Dysfunctions of a Team' framework for crafting personalized, inspiring messages.
Ensure clarity in written communication to avoid misinterpretation, and leverage synchronous communication for real-time feedback and innovation.

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Medium

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One Less Boundary Between Engineering, Product, and Marketing

The boundary between engineering, product, and marketing is being reimagined.
Previously, marketing and core application were developed separately.
A distribution-first approach is being adopted, prioritizing demand generation.
New possibilities are emerging, where marketing and core app functionality coexist.

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16 Likes

Medium

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There’s a secret to 10x better AI results

Prompt decorators allow for more structured and contextually appropriate AI responses.
Different decorators like Reasoning, StepByStep, Socratic, Debate, Critique, Refine, CiteSources, FactCheck, OutputFormat, and Tone can be used to guide AI responses.
Using decorators can improve logical explanation, break down tasks, encourage critical thinking, generate multiple perspectives, analyze strengths and weaknesses, refine responses, include citations, verify facts, and control response format and tone.
Examples demonstrate the impact of using prompt decorators in generating better AI outputs.

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Logrocket

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The build trap: Dangers of a feature factory mindset

The 'feature factory' mindset in product management emphasizes quantity over impact, often leading to the build trap with bloated products and poor fit between business goals and user needs.
Adding more features can harm product-market fit by increasing complexity, maintenance costs, diluting core value proposition, and leading to rushed, ineffective solutions.
Signs of a feature factory include stakeholder-driven priorities, focus on outputs instead of outcomes, and measuring success by story points completed rather than real impact.
Agile teams can fall into the feature factory trap by prioritizing feature churn over learning through iteration and adapting based on user feedback.
Product roadmaps often fail to drive real user outcomes when they prioritize shipping over problem-solving and fail to measure success beyond launch metrics.
Top organizations like Microsoft, Dropbox, and Slack escaped the feature factory mindset by shifting towards outcome-driven models, focusing on core user needs, and refining product offerings.
To implement outcome-oriented roadmapping, teams should define clear success metrics, align teams around business goals, prioritize based on evidence, use OKRs, and validate learnings faster.
Escaping the feature factory mindset requires a shift from shipping features to solving problems, from outputs to outcomes, and from feature checklists to focusing on business impact.
Product managers should view roadmaps as strategic tools that define how products create value over time, emphasizing problem-solving and desired outcomes over simply shipping features.
The key to success lies in shifting towards an outcome-driven approach that prioritizes solving real problems and creating meaningful business impact.
Moving away from the feature factory mindset is essential for product success, emphasizing a focus on outcomes, aligning with business goals, and validating decisions through evidence and user feedback.

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UX Design

436

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Should you copy a competitor?

9 out of 10 direct copycats usually flop.
Copying competitors can result in distractions, slow momentum, and tech debt.
Teams often chase the latest feature without understanding its effectiveness.
Unrealistic comparisons and copying failing features are common pitfalls.

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Medium

276

Why Data-Driven Marketing Alone Won’t Convert

Blend automation with human-centric marketing to improve conversion rates.
Use data to inform storytelling and emphasize real customer experiences.
Combine AI-driven personalization with timely human responses.
Inject emotion and maintain professionalism to engage with the audience.

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Medium

369

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BRD vs. PRD vs. FSD: Who Writes What and Why It Even Matters

BRD, PRD, and FSD are important types of documentation that define the why, what, and how of a product.
BRD (Business Requirements Document) answers why the product is being built, what business value it brings, and how success will be measured.
PRD (Product Requirements Document) contains user stories, use cases, and feature definitions, aligning product, design, and engineering.
FSD (Functional Specifications Document) provides technical, detailed descriptions and diagrams for developers and other technical roles.

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Medium

222

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Demystifying AI in Telecom: Overcoming the Black Box Challenge

AI transparency challenges in Telecom: Compliance risks due to lack of explainability to regulators.
Skepticism and resistance from operators when AI decision-making is not understood.
Biased datasets leading to unfair decisions and difficulties in identifying and correcting biases.
Integration complexity with legacy systems and lack of visibility into decision-making process.

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Medium

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From Features to Relationships: The Rise of the People-Centric Product Manager

The role of a Product Manager (PM) has evolved significantly in recent years, shifting towards a people-centric focus, emphasizing collaboration, relationship building, and customer empathy.
Successful product management now requires strong interpersonal skills to navigate complex teams, customer expectations, and business goals, fostering a culture of shared ownership and accountability.
Product Managers act as the glue that binds diverse teams together, ensuring alignment towards shared goals and delivering outcomes rather than just features.
Balancing technical feasibility with user needs and speaking the language of various teams is crucial, with a growing emphasis on collaboration and communication.
Empathy with customers is vital for resolving challenges, going beyond data analysis to actively listen and form genuine connections, leading to valuable insights and strengthened relationships.
Investing in team development, fostering a positive team culture, and guiding products to success are key responsibilities of Product Managers.
Challenges such as balancing people management with core product responsibilities and unclear career progression present opportunities for refinement and reevaluation within the Product Manager role.
Mastering the balance between people-oriented skills and strategic product management will be crucial for the future success of Product Managers, driving both product and team growth.
As Product Managers navigate the evolving landscape, embracing collaboration, empathy, and relationship building will be essential for creating impactful products and driving organizational culture.
The evolving role of Product Managers highlights the significance of human connection in driving product success, emphasizing the importance of fostering innovation and leaving a lasting impact.

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Medium

316

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What My Lesson Teacher Taught Me about Building MVP

Start small and simple.
Define a clear value proposition & Unique selling point.
Adapt to customer feedback.
Don’t waste resources.

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19 Likes

Medium

146

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How LLM Engine Optimization (LLM-EO) Is Changing the Landscape of Internet Search

AI search engines such as ChatGPT, Bing's AI chat, and Perplexity AI are challenging traditional search engines by generating answers instead of directing traffic to websites.
Generative AI threatens the classic search engine model, prompting companies like Google and Bing to incorporate AI summaries directly into search results.
Monetization challenges arise as AI-driven answers reduce ad display opportunities, leading platforms to experiment with blending ads into AI-generated results.
Traditional search engines aim to leverage their assets like vast web indexes and search quality data to enhance AI-driven answers.
Adapting to AI-driven search, businesses need to focus on LLM Engine Optimization (LLM-EO) to ensure their content is correctly interpreted and included in AI answers.
LLM-EO strategies include providing high-quality, clear content, using structured data and metadata, demonstrating authority, optimizing for conversational queries, and maintaining a multi-platform presence.
Businesses should consider early adoption of LLM-EO to establish a strong presence in AI search results, while later adapters can focus on niche, depth, and enriched existing content.
Various industries like finance, IT, retail, manufacturing, healthcare, and pharmaceuticals are impacted by AI-driven search and should optimize their online content for LLMs.
Ethical considerations in LLM search dominance include the risk of bias, loss of autonomy, ethical issues in decision-making, and the need for transparent and accountable AI systems.
As LLM-driven search gains momentum, the adoption timeline may accelerate based on technological breakthroughs, cultural shifts, integration into daily life, and competition.
Regulatory hurdles, public backlash, economic factors, and competition fragmentation could potentially slow down the AI search revolution, while breakthroughs in AI capability, cultural shifts, and daily life integration could accelerate the dominance of AI search.

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8 Likes

Medium

338

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Why Resting More Might Be the Most Productive Thing You Can Doy

Resting more might actually be the most productive thing you can do.
Prioritizing sleep can significantly improve cognitive and emotional performance.
Lack of sleep can negatively impact productivity and overall well-being.
The brain continues to work while we sleep, processing and storing information.

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