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The UX debt of AI-first products

Building digital products with AI is essential for staying competitive in 2025.
Many teams are accumulating UX debt by rushing to implement AI without focusing on usability and integration.
AI-first products often prioritize the capabilities of the model over user needs, resulting in unsustainable showcases rather than user-centric products.
To create real products with AI, teams should prioritize user needs over the novelty of AI technology and focus on improving user experience.

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Medium

256

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A Strange Case When “Too Much” Elegance Kills the Product

Building a Grant Management platform for Moroccan nonprofits revealed that elegant solutions can create messy problems.
Optimizing for interface elegance over architectural coherence led to the creation of The Interface Lie.
The system was unknowingly causing duplication issues due to the UI design, leading to conflicts between the interface and system logic.
Balancing user experience with system integrity requires aligning UI with the actual system logic and being cautious of 'elegant' solutions that may compromise the architecture.

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Medium

139

The Elephant in the Data Room: Why Your “Data Products” Aren’t Delivering (And How to Fix It)

Data consumers perceive reality based on data quality, accessibility, and understandability.
To bridge the perception gap, organizations need genuine data products that meet users' explicit needs.
Regularly soliciting feedback from users helps in improving data assets and building trust.
Effective data leadership involves applying product thinking, empathy, and understanding to transform data into a powerful asset.

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Medium

270

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Starfrit 93209 Rotato Express Electric Peeler: The Ultimate Time-Saving Kitchen Gadget You Need

The Starfrit 93209 Rotato Express - Electric Peeler is a time-saving kitchen gadget designed to simplify the peeling process, especially for large quantities or delicate produce.
Key features include automatic peeling, an ergonomic design, a durable stainless steel blade, battery operation, an adjustable arm, and easy cleaning.
Benefits include saving time, effortless peeling, versatility with various produce, and consistent results similar to professional peeling.
Pros of the Starfrit Electric Peeler include saving time and effort, ease of use and cleaning, compatibility with multiple produce types, portability, and suitability for various sizes.
However, cons include the need for batteries, potential noise during operation, and limitations with tiny produce.
The peeler is recommended for busy moms, elderly individuals with hand strength issues, and cooking enthusiasts seeking efficiency in meal preparation.
The Starfrit Rotato Express stands out in 2025 for its time-saving capabilities, consistent results, and user-friendly design, making it a must-have kitchen gadget.
To experience the convenience of the Rotato Express, interested individuals can order it online for efficient peeling of fruits and vegetables.
In conclusion, the Starfrit 93209 Rotato Express Electric Peeler elevates kitchen efficiency for various user groups, offering automatic peeling and durable construction for seamless cooking.
With its practical features and benefits, this electric peeler proves to be a valuable addition to any kitchen, enhancing meal prep processes and simplifying tasks.
Don't miss out on the opportunity to enhance your cooking experience by incorporating the Rotato Express into your kitchen routine—it's a gadget that delivers convenience and efficiency!

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Medium

112

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Beyond Copilot: How Autonomous Agents Are Reshaping Product Strategy (and What PMs Must Do Now)

The market for intelligent agents is expected to grow exponentially, reaching close to USD 100 billion by 2030 with a CAGR of 48.9%.
Companies like Microsoft and Nvidia are investing significantly in autonomous agent technologies to facilitate enterprise adoption.
The maturation of Large Language Models (LLMs) has enabled agents to transition from research labs to real-world applications.
Product Managers need to shift towards understanding, managing, and strategizing for autonomous agents to drive product innovation.
The user interaction model is evolving towards Intent-Based Outcomes (IBO), where users define goals while agents handle execution.
Product Managers must now focus on defining objectives, setting constraints, and measuring success metrics for autonomous agents.
Building trust becomes crucial in a world filled with autonomous agents, emphasizing transparency, observability, and user control.
Product Managers must reframe problems in terms of goals, identify automation opportunities, and prioritize understanding user intent.
The transition to autonomous agents requires a shift in design thinking towards creating trusted, intelligent digital teammates.
Investments in agent technologies are rapidly increasing, signaling a significant shift in product strategy towards autonomous agents.

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Medium

180

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Bringing user insights into real world practice, before Launch

Business Analysts play a crucial role in bridging user needs with the technical team, emphasizing the importance of incorporating actual user behavior in rapid development environments.
UI Designers in high-pressure scenarios should focus on balancing aesthetics, usability, and feasibility by designing for clarity, speed, and context.
Collaborating closely with QA and developers for quick feedback iterations can help teams align on real user needs early in the process, enabling better prioritization decisions and focusing on actual fixes over cosmetic changes.
Testing in real-world environments and designing based on how users actually interact with the product leads to meaningful experiences, addressing the right problems and launching products that work effectively in practical settings.

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Logrocket

333

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How to define a good retention metric for your product

Retention is a critical concept in product management but often misunderstood, with many defining it incorrectly as a daily/weekly/active user metric.
A good retention metric should focus on the value users derive from the product over time, not just their usage frequency.
Defining retention based on natural frequency of use and value generation is crucial for a meaningful metric.
Different products have different usage frequencies, so retention metrics should align with how often the problem your product solves occurs.
Key actions that indicate value should be tracked to ensure the retention metric reflects meaningful interactions.
Combining natural frequency of use with key value-generating actions creates a truly actionable retention metric.
For ad-hoc products used infrequently, defining a retention metric may not make sense as building habits around them is challenging.
Strategies for ad-hoc products include focusing on brand awareness or developing more frequently used products to drive retention.
Properly defined retention metrics help evaluate habit-building features and gauge the product's effectiveness in solving user problems.
Retention should be measured as an indicator of habit formation, not just for the sake of tracking metrics.

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The FishmanAF Newsletter

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How AI Products Drive Adoption: The Template Activation Loop

AI products face a challenge of activation due to the vast capabilities but lack of guidance on where to start, leading to low conversion rates.
Most successful AI companies adopt a template-driven activation strategy for users.
Activation involves getting users to establish a habit around a product's core value proposition for the first time.
Foundation model companies like OpenAI's ChatGPT use templates and prompts to guide users in utilizing the product effectively.
Developer tools like Bolt and Lovable leverage template-driven approaches for onboarding users into coding environments.
AI-powered sales & marketing tools like Clay and Jasper use templates and prompt libraries to assist users in various tasks.
In the legal sector, AI products such as Harvey and Wordsmith utilize templates to help users with legal document tasks.
Creativity-focused tools like Canva and HeyGen implement template features to aid users in creating designs and content.
The future of AI activation may involve intelligent curation of templates based on individual preferences and usage patterns.
Vertical-specific activation strategies have been proven effective in guiding users in narrow domains within AI products.

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Medium

378

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“Designing an App for the Memories We Leave Behind”

The author experienced frustration when unable to find a specific meaningful photo among hundreds in their gallery.
This led to the creation of EchoTrail, a location-based app to capture and drop memories called 'Echoes' tied to specific places.
Users can leave photos, voice notes, thoughts, or ambient sounds as Echoes, creating a private map of meaningful moments.
EchoTrail aims to help users remember and appreciate the quieter, more meaningful moments in life by associating them with locations.

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22 Likes

Medium

387

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AI: Practical Guide for AI Engineers & Product Managers

AI has become a mainstream force reshaping industries and society, leading to the need for AI engineers and product managers to ground themselves in core concepts and terminologies.
The blog aims to help AI practitioners understand the foundational ideas and shared language of the field to navigate the rapidly evolving space of AI and machine learning.
It provides an enriched glossary covering key terms such as AI, machine learning (ML), deep learning (DL), neural networks, transformers, and language models.
The blog also delves into topics like model inference, domain adaptation, input crafting, hallucination, multi-modal models, agents, intermediate steps demonstration, and lightweight finetuning methods in AI.

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Medium

382

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Would You Pay for What You Sell?

Before asking others to invest in your product, ask yourself: Would I pay for this? This question is crucial for business success.
Launching offers aligned with market needs and personal standards is essential for business integrity.
Confidence in the value of your product/service is magnetic and reflected in your communication with customers.
Uncertainty about value can lead to over-explaining, over-discounting, or overcomplicating the sale.
Trust is a key factor in purchasing decisions, and it starts with the business owner believing in what they offer.
Consider your product/service from a buyer's perspective to ensure excitement, understanding, and perceived value.
Underpricing due to insecurity can hinder business success; focus on delivering value that justifies the price.
Customers buy outcomes and solutions to real problems, not just features; clarity and value drive purchasing decisions.
Building something you believe in leads to authenticity, intention, and customer loyalty.
Asking 'Would I buy this?' is crucial before selling to refine the offer, improve delivery, and ensure it aligns with real value.

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Medium

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Stop Ideating. Start Listening: A Product Manager’s Guide to the Support & Post-Launch Phase

Product management after launch requires a shift towards data-driven decision-making and prioritizing user feedback over personal opinions.
Key steps include conducting regular user interviews, analyzing insights, and focusing on user behavior such as drop-offs, feature neglect, and breakpoints.
It is essential to rely on baseline data to guide post-launch product management decisions, emphasizing understanding before making changes.
The focus should be on solving specific behavioral pain points and making the product simpler and clearer with each iteration.

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Medium

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The Product Manager as Potter

Product management can be likened to shaping a clay pot on a spinning wheel, where the market and internal forces act as the spinning wheel.
Product managers need to work with the existing motion of the market and internal forces, shaping the product while everything is in motion.
The mix of customer pain points, stakeholder ideas, and constraints are like the wet clay that product managers must work with.
Product managers play a crucial role in envisioning the final shape of the product and guiding how that vision scales through strategy.

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Medium

317

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The “I” in AI — A Product Manager’s Guide to Intelligence

AI intelligence in today's context is about recognizing patterns and making predictions to perform specific tasks, not mimicking human intelligence.
There are three common categories of AI: ANI that is task-oriented, AGI that is hypothetical and can reason like a human, and ASI which is exceeding human intelligence.
Understanding the limitations of current AI helps in using it effectively and responsibly in product development.
AI is best utilized in tasks like summarizing feedback, generating product descriptions, categorizing feature requests, and personalizing recommendations, where it adds value and enables innovation.

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Medium

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From Project to Product: What It Actually Means

The shift from project to product in enterprise organizations is seen as a significant step towards better digital delivery and product practices.
The shift involves moving from delivering a solution to owning a problem and improving it over time, focusing on outcomes rather than just output.
Challenges in this shift include team structures, reporting and incentives, emotional comfort in planning and predictability, and deeply ingrained project thinking habits.
The transition to a product-led organization requires not just changing the way teams work, but also adjusting expectations across teams, stakeholders, and leadership.

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