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Bidirectional Intelligence: Teaching AI to Critique, Not Just Create

PM-008 focused on teaching Piper to analyze and improve existing GitHub issues by providing constructive feedback.
Instead of building a separate system, the team leveraged existing components to enhance issue analysis.
Piper referenced specific PM practices to offer helpful feedback, demonstrating bidirectional intelligence in critiquing and reviewing.
The AI's ability to provide confidence scores and admit uncertainty showcased its utility in product management tasks.

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6 Likes

Medium

Augmented AI vs Automated AI: The Power of Partnership vs. the Promise of Autonomy

Augmented AI utilizes LLMs or ML to assist humans, while Automated AI utilizes similar technology to replace human involvement.
Augmented AI is prevalent in UX-heavy industries such as education, healthcare, and HR tech, to enhance human nuances.
On the other hand, Automated AI excels in efficiency-first domains like fintech, operations, and supply chain.
The distinction between Augmented AI and Automated AI is crucial for product leaders developing AI-powered products to determine whether they are augmenting humans or replacing them.

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4 Likes

Medium

363

If You Want to Fail, Fail Early: The Real Secret to Winning

The article emphasizes the importance of embracing failure and learning from it, rather than fearing it.
It highlights that many successful individuals have faced numerous failures before achieving success.
The key advice is to fail early in various pursuits like career, passion projects, or business ideas, as it provides valuable feedback and prepares one for future challenges.
Framing failure as a necessary part of growth and resilience, the article urges readers to see it as a learning opportunity and a stepping stone towards success.

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21 Likes

Medium

328

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How to manage Autonomous teams: 5 practical strategies

Teams often struggle with maintaining structured processes and collaboration.
Project managers face challenges in ensuring progress tracking and consistent communication when teams operate autonomously.
Strategies for managing autonomous teams include leading with purpose, co-creating structures, setting clear boundaries, tracking deliverables, and using tools for transparency.
The balance between structure and autonomy can be achieved by focusing on outcomes, flexibility, and clear communication.

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19 Likes

Medium

228

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Roadmaps Without Outcomes Are Just To-Do Lists

Having a roadmap full of features and busy engineers isn't enough if real outcomes aren't being achieved.
Simply shipping features without driving actual progress or improvements is not beneficial in the long run.
The shift from a feature roadmap to an outcome-based roadmap is crucial for defining specific goals and focusing on measurable results.
It's important to tie roadmaps directly to outcomes, define sharper goals, and ensure the team knows what success looks like to avoid building noise instead of valuable products.

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13 Likes

Medium

170

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Optimizing Health Care Delivery Through Evidence-Based Practice and Interdisciplinary Collaboration

The health care system is evolving to focus on quality, efficiency, and patient-centered outcomes in response to increasing population, aging, and prevalence of chronic diseases.
Evidence-based practice (EBP) and interdisciplinary collaborative health care delivery have become vital strategies in adapting to the complex health care environment.
EBP involves using the best available evidence, clinical expertise, and patient preferences to make informed decisions, leading to improved clinical outcomes and reduced complications.
Interdisciplinary collaboration involves professionals from various specialties working together to provide coordinated care, leading to reduced medical errors, increased patient satisfaction, and improved overall outcomes in various healthcare settings.

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10 Likes

Medium

103

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5 Common Product Discovery Mistakes and How to Avoid Them

Avoid these 5 common product discovery mistakes for successful product development.
Product discovery involves understanding user problems, validating solutions, and making evidence-based decisions.
Skipping or rushing through discovery leads to blind risks with development resources.
Focus on users' underlying problems, not just their articulated solutions, for effective product development.

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6 Likes

Medium

270

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The AI Arsenal Every Product Marketer and Product Manager Needs (But Most Are Too Lazy to Master)

AI tools are essential for product marketers and product managers to enhance various aspects of their work.
Tools like Custom GPTs, Notion AI, Miro AI, and others can assist in tasks such as PM work, GTM planning, customer journey mapping, sales enablement, and content creation.
Using AI tools effectively can streamline processes, personalize sales enablement, improve messaging, and enhance productivity in product management and marketing.
Mastering AI tools can make a product marketer or manager a superweapon in their role, offering significant advantages in planning, writing, launching, enabling, selling, and analyzing product strategies.

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16 Likes

Medium

Fixing Twitter’s DMs: A Beginner PM’s Thought Process

A beginner product manager discusses frustrations with Twitter's DM system and proposes solutions.
Key issues faced include ghost notifications, DM glitches where messages are missing, and the absence of a 'Delete for Everyone' feature.
Possible reasons for these issues include sync problems, caching issues, and product decisions on privacy or policy.
The writer, who is new to product management, outlines steps they would take to address these issues if part of the product team.

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1 Like

Medium

299

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Multi-Tenancy as Product Strategy

Choosing a multi-tenant SaaS model affects pricing, scalability, feature rollout, and customer experience.
Multi-tenancy allows cost sharing, enabling enterprise-level capabilities at lower prices for small to medium businesses.
Fast iteration and continuous delivery are facilitated by a single shared codebase, leading to quicker innovation and improved user experience.
Built-in scalability, operational simplicity, and enhanced security are key benefits of multi-tenancy that support long-term growth and focus on delivering value to users.

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18 Likes

Medium

158

My Journey Into Pig Farming: Building a Business From the Ground Up

A young entrepreneur in Nigeria ventured into pig farming as a means to establish a stable and profitable business, inspired by the rapid growth and reproduction rates of pigs.
Starting with just one female pig, the entrepreneur focused on long-term growth by reinvesting profits from selling piglets and developing a strategic breeding plan.
Implementing a cost-effective and nutritious feeding routine with items like PKC and corn, the entrepreneur faced challenges such as feed shortages, illness, and the importance of good management practices.
Offering advice to aspiring pig farmers, the entrepreneur emphasizes starting small, prioritizing genetics, planning feed preparation, reinvesting profits, and maintaining patience in the long-term nature of pig farming.

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9 Likes

Medium

174

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Lessons on Innovation from 65 Years Ago.

The concept of 'early adopters' and the 'late majority' were popularized by a book exploring how innovations spread through society.
Understanding how innovations diffuse can help accelerate adoption by reducing uncertainty about their advantages and disadvantages.
The innovation-decision process involves information-seeking to decide on innovation adoption.
Communication channels, reinvention, and social systems influence the rate of adoption and diffusion of innovations.

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Logrocket

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Leader Spotlight: Balance vs. compromise in product management, with Suvrat Joshi

Suvrat Joshi, SVP of Product Management at Nintex, discusses balancing decisions in product management.
He emphasizes 'balance' instead of 'compromise' and advocates for healthy team pushback.
Joshi shares insights on achieving balance, encouraging pushback, and remaining data-driven without being data-blinded.

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4 Likes

Medium

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Vibe Coding for Noobs: Product Managers Roadmap to AI coding.

Vibe coding, a term emerging in the AI world, is democratizing software development by combining rapid iteration, AI-powered development, and a focus on creativity.
Once limited to select experts, vibe coding now allows Product Managers to build and prototype products faster and more efficiently.
It utilizes detailed prompts to create prototypes or entire products, enabling PMs to innovate and ship products quickly.
The approach involves unpacking what vibe coding is, providing an AI-driven roadmap for building products, outlining core rules, suggesting essential tools, and exploring future possibilities for PMs.

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1 Like

Medium

2.5k

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Unlocking the Power of AI in Demand and Supply Planning

AI is transforming demand and supply planning to make it indispensable.
Traditional methods are no longer sufficient in today's unpredictable world.
AI offers predictive accuracy, agility, and optimization to enhance planning landscapes.
Starting with the problem, focusing on data integrity, and usability are key lessons.

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14 Likes

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