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Spotify’s Shorts: TikTok Meets Tunes — A Case Study in Product Strategy

Spotify has introduced vertical videos, called Spotify Shorts, to enhance user experience and compete with platforms like TikTok, Instagram Reels, and YouTube Shorts.
The move is to cater to Gen Z preferences, who prefer swiping and algorithmic music discovery through bite-sized content and infinite scroll experiences.
Spotify aims to address the challenge posed by TikTok, which has become a dominant music discovery platform despite Spotify's robust music recommendation engine.
Spotify integrates vertical videos into artist pages and song contexts, focusing on curation rather than user-generated content creation like in TikTok.
The algorithm for Spotify Shorts suggests videos related to the user's current listening preferences and learns from user engagement over time.
Key metrics of interest for the Spotify product team include engagement, discovery, and platform metrics, especially the discovery-to-save conversion rate to validate the visual hypothesis.
Spotify is betting on visual, algorithmic, and addictive attention models for the future, understanding that platforms need to grasp attention mechanisms beyond just music functionality.

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Impact of GenAI Products on the Wildlife Tourism Industry

Current trends show models generating images of wild animals based on user prompts, but current outcomes are not as great as skilled photography with post-processing.
Advanced models of LLMs are expected to create more realistic photographs in the future.
GenAI products will allow users to fine-tune images similar to the capabilities of Photoshop and Lightroom.
Users can generate these images at home with minimal gadgets, potentially reducing the need to travel for wildlife photography.
The impact on wildlife tourism includes both negative and positive aspects, such as reduced habitat disturbance but less maintenance money from tourism.
Advancements in technology have led to the discovery of more unknown and rare wildlife species.
A large portion of the population may still prefer real-life travel experiences despite the availability of AI-generated images.
The shift in user preferences may lead to considerations between paying for better AI models or investing in travel for wildlife experiences.
The future adoption of AI tools by wildlife enthusiasts remains uncertain, only time will reveal the preference for AI-generated images over real-life experiences.

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Medium

Netflix’s Personalization Powerhouse: How A/B Testing at Scale Built a $300B Streaming Giant

Netflix has evolved from DVDs to streaming, focusing on personalization for user retention.
The streaming giant masters personalization with 2 billion annual viewing hours, driven by recommendations and UI improvements.
Netflix's personalization engine boosts engagement, with 80% of streams initiated from suggested titles.
The 2024 'Netflix Mood Match' campaign sparked viral growth and a 5% subscriber increase through data-driven features.
Netflix emphasizes personalization to turn users into advocates, balancing AI with human appeal.
A/B testing culture at Netflix, supported by AI, fine-tunes user experiences through thousands of experiments annually.
Netflix prioritizes user-centric A/B testing, focusing on delight and user value metrics rather than just clicks.
A six-step framework guide for PMs to design data-driven personalization akin to Netflix.
Challenges of mishandled personalization can undermine user choice despite AI-driven improvements.
Netflix utilizes social trends like the 'Mood Match' campaign to fuel personalization and organic growth.
The success of Netflix showcases the power of A/B testing and AI in creating engaging experiences.
PMs can learn from Netflix's personalization strategies to develop compelling products.
Netflix encourages audience engagement by asking for feedback on favorite features.
The Product Brief offers insights on building tech products effectively and purposefully.

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Medium

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Figma’s Collaborative Canvas: How Real-Time Design Built a $20 Billion Creative Empire

Figma, launched in 2016, focuses on accessible and collaborative design, boasting 2 million paid users and 70% adoption among tech startups by 2025.
Figma’s collaborative features, like multiplayer editing and AI-driven tools, lead to 40% faster design cycles.
The 2024 “#DesignInFigma” campaign saw massive success, driving 8 million impressions, a 15% user spike, and showcasing community plugins.
Figma’s AI tools, such as FigJam AI, aid teams in faster ideation and iteration by analyzing inputs and design patterns.
The six-step framework for PMs to design real-time collaborative tools involves implementing WebSocket for real-time features and tools like AWS Bedrock for AI-driven suggestions.
Figma’s success lies in balancing collaboration tools to enhance user workflows without overwhelming them.
Empowering users to showcase products through features that encourage sharing is crucial, as seen in Figma’s strategies.
Figma's collaborative canvas showcases how real-time tools, AI, and community can redefine creativity for users.
PMs aiming to build successful platforms can learn from Figma’s approach.
Figma's AI integration serves to empower users and enhance design without becoming prescriptive, maintaining user control.
PMs are advised to prioritize features that amplify user intent while keeping simplicity when integrating AI.
Figma’s PMs emphasize the importance of crafting features that align with organic trends and encourage user engagement.
Balancing collaboration tools is crucial to ensure they enhance, rather than hinder, user experiences.
Users are encouraged to share thoughts on the Figma features that inspire their creativity.
The Product Brief offers insights on building tech products efficiently and purposefully.
The article underlines Figma's success in enabling real-time teamwork and AI-driven design tools.
The eligibility for web story generation is true as the article provides valuable insights and lessons for product managers and creators.

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Medium

Slack’s Seamless Collaboration: How Integrated Communication Built a $25 Billion Work Hub

Slack, launched in 2013, aims to replace email with real-time, organized communication.
By 2025, it has 12 million paid users and is adopted by 65% of Fortune 500 companies.
Slack's collaboration engine includes channels, integrations, and search, reducing email volume.
A 2023 campaign on remote work tools went viral, boosting user numbers.
Slack's success lies in simplifying team communication and centralizing work.
AI in Slack automates tasks from chat analysis, blending with the user experience.
PMs must ensure AI enhances workflows without overwhelming users.
A six-step framework is provided for PMs to design communication-driven products.
Integration risks are highlighted, showing the need for balance.
Features should align with workplace trends and usage platforms.
Slack's seamless collaboration through AI and integrations transforms work.
The article emphasizes stealing Slack's playbook to build beloved team hubs.
Readers are invited to vote on their favorite Slack features and share thoughts.
Follow The Product Brief for more on building tech products efficiently and purposefully.

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Medium

172

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When Browsers Get Smart: How Arc, Zen, and Orion Are Schooling the Big Players

The litmus test for brilliant UX is the Grandma Rule: if a UI change is so intuitive that even grandma can easily adopt and remember it, it's a success.
The traditional browsers like Chrome, Firefox, and Safari are reliable but lack innovation, unlike the newer players - Arc, Zen, and Orion.
The new browsers are challenging the norms by trying to anticipate users' needs proactively.
Zen Browser stands out with its 'type to search' feature, offering simplicity and efficiency when searching for specific content on a webpage.

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Medium

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Progress defines Productivity

Feeling idle can lead to questioning one's purpose and existence.
Focus on meaningful work and the process rather than just achieving results for productivity.
Avoid following trends or doing what others think is popular if it doesn't bring you joy.
Passion and enjoyment in your progress are crucial for productivity.
Today's productivity culture can create self-doubt and internal questioning.
Encouragement to avoid overthinking and to take action towards your goals.
The journey you create for yourself is more important than the end results.
Consistent action is emphasized as key to progress and productivity.
Continuous effort and dedication are highlighted as essential for staying purposeful.
Emphasis on not expecting smooth progress without ongoing effort.
Productivity is about the process and consistent action rather than immediate outcomes.
Taking actions aligned with your passion is more important than following societal expectations.
Avoid being consumed by self-doubt and questions about the right path; focus on taking steps towards your desired future.
Ending complacency and striving for continuous improvement is key to productivity.
Consistency and perseverance are highlighted as integral to productive endeavors.

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Medium

403

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Salesforce Revenue Lifecycle Management: How to Create a Product

To create a product in Salesforce Revenue Lifecycle Management, start by heading to the Product Catalog Management section and clicking on Products.
Click the New button to launch the product creation screen, fill in details like product name, SKU, and activate the product.
Specify if the product should be assetizable and should be sold with other products or on its own.
Choose the selling model - one-time purchase, subscription, or term basis; add the product to a price book with a list price.
Assign the product to a category in the catalog for better organization.
Sync pricing data through the Setup menu to update the product's pricing information.
Test the product's integration with the quoting process by refreshing the quote, browsing catalogs, and adding the product to verify calculations.
Creating a product in Salesforce Revenue Lifecycle Management streamlines catalog management and ensures accurate quoting.
The process is user-friendly but for further assistance reach out for more guidance.

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Medium

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The Hidden Cost of Over-Engineering: A Startup Post-Mortem

A startup aimed to create a unified solution for four core pillars of DAO operations.
The team aimed to revolutionize how DAOs operated with a comprehensive platform.
The team's enthusiasm led to over-engineering their tech stack, creating unnecessary complexity for a simple MVP.
The founder's mistake was applying enterprise-level practices without considering the startup's stage.
The story serves as a cautionary tale, highlighting the importance of simplicity and practicality in tech solutions for startups.
Success in startups is about solving real problems for users quickly, learning, and adapting efficiently.

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Medium

358

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Track Your Dev: A GitHub-Powered Dashboard for Non-Tech Teams

TrackYourDev is a new GitHub-powered dashboard designed for non-tech teams.
The platform provides visual overviews of developer activity without requiring GitHub expertise or coding knowledge.
It is aimed at bosses, project managers, and startup founders who need insights into GitHub without diving into technical details.
TrackYourDev differentiates itself by focusing on team members who are not developers.
Current features include connecting GitHub repos to generate clear activity summaries.
The platform addresses the gap where non-tech team members need visibility into GitHub without relying on engineers.
Future plans for TrackYourDev consist of expanding its features and functionality.
The platform is welcoming ideas from users and encourages suggestions for improvement.
People managing developer teams without GitHub proficiency can benefit from using TrackYourDev.
The platform invites those interested to follow their progress as they continue to develop and enhance the tool.

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Dev

134

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My 1-Year Journey to the First Paid Customer

Alex shares his journey of building Foldwrap, a web tool for generating banner animations with AI or Figma designs.
He started by automating his banner workflow using a Python script to enhance efficiency.
In 2022, Alex left his country, leading to the disappearance of his project pipeline.
Alex committed himself entirely to developing his SaaS product, facing challenges like debugging and rebuilding the foundation multiple times.
Despite a failed launch on Product Hunt due to bot activity, Alex gained his first genuine users from Reddit.
After implementing a paywall for animations longer than 5 seconds, Alex acquired his first paying customer.
Currently, Alex has 6 paying users but acknowledges his marketing limitations.
He emphasizes starting small, testing ideas, and moving forward in product development and marketing.

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Medium

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Why PMs Should Think Like Founders (Even When They Aren’t)

Product Managers can benefit from thinking like founders to grow faster, build better products, and earn more trust.
Adopting a founder mindset can lead to noticing and addressing issues that may have been overlooked.
Rejecting unnecessary feature requests can lead to improved product retention.
Taking ownership of problems can result in significant revenue gains.
Collaborating across teams to address issues, like payment flow problems, can lead to revenue boosts.
Thinking like a founder empowers Product Managers to take initiative and drive positive outcomes.
Taking ownership of outcomes, even beyond one's job description, can lead to new opportunities and increased trust within the team.
By behaving like they own the company, PMs can build trust and become more involved in strategic decision-making.
This approach can transform a PM into someone who is instrumental in building successful businesses.

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Medium

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Why Cluely’s $5.3M “Cheat Everything” Startup is Doomed to Fail

Cluely, a provocative startup founded by Columbia University dropouts Chungin “Roy” Lee and Neel Shanmugam, received $5.3 million in seed funding from Abstract Ventures and Susa Ventures.
The startup aims to develop an AI tool that promises to cheat on everything, stemming from Lee's suspension after creating a tool to cheat on job interviews for software engineers.
Cluely's AI tool claims to provide real-time answers while being undetectable, despite the cheating connotation.
The startup gained attention in 2025 for its controversial nature, sparking a tech arms race with other startups claiming to detect Cluely users.
Critics argue that Cluely's deceitful approach and questionable ethics are likely to lead to its failure.
The funding raised by Cluely has sparked discussions and concerns regarding the accountability and responsibility of investors in supporting such initiatives.
The startup's origin story of turning an academic suspension into a multi-million-dollar venture has garnered both intrigue and skepticism.
Cluely's approach has stirred debate about the fine line between innovative disruption and unethical practices.
The startup's bold manifesto challenges the definition of cheating by comparing its tool to a calculator.
Cluely's viral success has been driven by the controversy surrounding its AI tool's capabilities and intentions.
The emergence of competitors claiming to detect Cluely users indicates the polarizing impact the startup has had on the tech industry.
Cluely's focus on providing real-time answers through AI technology has raised concerns about academic integrity and fair competition.
The startup's objectives and methods have divided opinions within the tech community, with some viewing it as a disruptor and others as a threat to ethical standards.
The clash between Cluely's innovative promises and the ethical dilemmas it poses underscores broader debates about technology's role in facilitating dishonest practices.
Despite the attention and funding received, Cluely's controversial approach and potential repercussions highlight the obstacles it may face in gaining long-term viability.

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Medium

264

MaAvatar: Step Into a New World of Web3 Expression and Empowerment

MaAvatar is a Web3-native identity ecosystem that combines avatars, quests, rewards, and storytelling.
Users' avatars in MaAvatar evolve based on their actions, achievements, and experiences in the metaverse.
MaAvatar allows gamers, collectors, creators, and explorers to express themselves and their values on-chain.
The platform offers dynamic Web3 identity that changes with user activities and interactions.
MaAvatar provides gamified quests, tasks, and challenges that engage users and offer rewards.
Users earn MAAV Points for various actions, unlocking token & NFT airdrops, whitelist access, ambassador tiers, and more.
The MaAvatar community emphasizes collaboration, events, and shared storytelling.
It reintroduces personality and presence in the Web3 space, offering digital self a narrative beyond just data points.
MaAvatar serves as a universal identity and a shared experience in the increasingly fragmented Web3 world.
To begin, users can claim a MaAvatar, join Zealy, complete quests, earn rewards, and explore.
MaAvatar aims to make users part of the blockchain's essence and lets their stories unfold.
The platform provides an opportunity for users to engage with the evolving Web3 landscape.
MaAvatar signifies a shift towards personal narratives and community-driven experiences in the Web3 realm.
Users are encouraged to participate, earn rewards, and contribute to the collective narrative of MaAvatar.
The platform offers a way for users to establish a dynamic digital presence in the Web3 ecosystem.
MaAvatar embodies the essence of Web3, blending identity, rewards, and storytelling into a cohesive experience.

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Medium

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If you can’t do user research, do these 3 things

During the early days of the pandemic, rapid service launches were necessary, leading to a focus on speedy response without abandoning user-centered thinking.
Despite challenges in conducting formal research, making data-informed decisions and focusing on user needs remained a priority.
Three key strategies were relied upon when direct user research was not feasible.
Frontline staff interactions provided valuable insights into common issues, pain points, and user behaviors.
Analytics data such as drop-offs, search queries, and popular buttons offered valuable information on user behavior and preferences.
Lean on usability heuristics, design patterns, and established best practices when direct user testing is not an option.
Following known design principles like clear language, strong hierarchy, and accessibility standards can help prevent usability issues.
While testing is ideal, making user-centered decisions is possible even when time and resources are limited.

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