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Building a Personal Portfolio in 30 Minutes (Using AI)

Building a personal portfolio is essential to establish an online presence and personal brand.
To quickly build a portfolio without coding, the author used AI-based 'vibe coding' and prompt engineering.
The process involved setting up GitHub Pages, coding the website shell using AI, adding content, and connecting a custom domain.
AI makes portfolio building easy, eliminating technical barriers and allowing individuals to showcase their work effectively.

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Inkbotdesign

363

How to Conduct a UX Diary Study for User Behaviour

A UX diary study is a valuable research method that allows participants to document their experiences and interactions with a product over a specific period, providing authentic insights into user behavior.
Benefits of conducting UX diary studies include capturing natural behaviors, gaining in-depth insights, identifying pain points, fostering user-centric design, collecting longitudinal data, and encouraging user reflection.
To conduct a successful UX diary study, it is essential to define research objectives, select diverse participants, determine study duration, choose suitable data collection methods, and provide clear instructions to participants.
During the study, preparation of study materials, maintaining participant engagement, collecting and analyzing data, interpreting results, and deriving insights for UX improvement are critical steps.
Best practices for successful UX diary studies include maintaining participant engagement, ensuring data accuracy and reliability, addressing challenges and limitations, and utilizing case studies and examples for real-world applications.
The future implications of UX diary studies suggest automation, neurofeedback integration, predictive UX models, and ethical considerations as technology advances, emphasizing the importance of understanding user behavior at a deeper level.

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Medium

205

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Unlocking the Power of AI for PRDs: A Step-by-Step Guide with ChatPRD

ChatPRD is a tool that helps product managers and founders create product requirement documents (PRDs) and other documents by providing a simple prompt.
Users can choose from multiple templates like PRD, API documentation, Competitive analysis, OKR, etc.
ChatPRD generates a structured PRD based on the provided prompt, including goals, success metrics, user stories, functional requirements, user experience, technical considerations, milestones, and sequencing.
The tool allows users to request changes or additions to the PRD structure, such as adding user personas or competitive analysis sections.

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Medium

321

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Finding the Sweet Spot for AI-Assisted Creativity

This article explores the use of systems designed to generate statistically likely outputs in creative pursuits that require divergent thinking.
LLMs (Language Models) are fundamentally designed to converge toward likely outcomes rather than diverge toward rare ones.
LLMs face challenges in divergent phases of product development, but excel in convergent phases, offering pattern recognition, consistency enforcement, and iterative improvement.
Creativity is a dance between divergence and convergence, and the application of AI tools relies on skilled human guidance to establish goals and add value.

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Medium

296

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APIs for Product Managers — The Basics You Need to Know

APIs are like a store that provides ready-to-use tools for developers, saving time and effort in development.
APIs work by one system making a request, the API performing the necessary work, and then returning the data.
An example is a delivery app sending a request to a restaurant's system via an API to confirm food availability.
APIs can experience failures, emphasizing the importance of backups and reliability for connected systems.

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Medium

329

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3 Questions of a Software Product Pipeline

The software product pipeline consists of three stages: WANTs, SHOULDs, and CANs.
In the WANTs stage, ideas and feature requests are collected from various sources.
In the SHOULDs stage, ideas are prioritized based on company goals and feasibility.
In the CANs stage, engineering and design teams determine the technical feasibility of the selected ideas.

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Medium

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Food for Agile Thought #486: Reshaping Teamwork, Product’s Code-first Future, Unintentional…

Zvi Mowshowitz critiques Sam Altman's stance on AGI.
Aakash Gupta and Tal Raviv demonstrate building an AI-powered product management copilot.
McKinsey explores organizational restructuring for unlocking gen AI value.
Matheus Lima argues that actual psychological safety thrives on respectful conflict.

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Medium

102

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AI is Moving Fast, and Innovation Doesn’t Happen in 30-Minute Calendar Blocks

AI is moving faster than your org chart.
Most companies are still debating how to structure and strategize for AI, instead of creating the space to actually use it.
Product and engineering teams need time for discovery and experimentation with new AI capabilities.
AI strategy starts by creating the space and time for team members to think and innovate.

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Medium

338

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Can AI Therapy make mental healthcare more accessible?

Therapy is currently inaccessible to many due to long waiting lists, high costs, and limited availability.
Generative AI, such as ChatGPT, is being used in mental health care to provide support to those who can't access traditional therapy.
AI systems can offer guidance and support to individuals, such as Wysa's mental health AI, Woebot for cognitive behavioral therapy, and Reflectly for journaling.
AI tools can assist human therapists by automating tasks, providing insights, and specializing in conditions, while therapists offer empathy and human connection.

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Medium

294

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A year into product management — At least AI is not yet taking over

Stepping into the role of product management comes with weightier responsibilities and broader impact.
The main duties of a product manager revolve around bridging business goals, user needs, and technical execution.
Prioritization, breaking down bigger projects, defining success metrics, understanding user needs, and staying competitive are key aspects of the role.
While AI is becoming more prevalent, it still has a long way to go in carrying out the nuanced decision-making tasks required in product management, but can serve as a useful assistant for specific tasks.

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Medium

396

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How we revamped the ASOS QA engineering competency

Faced with restructuring and a new product operating model, ASOS revamped their QA engineering competency to align with the changing landscape.
The legacy competency was based on three fundamental quality principles: test first, test automation first, and continuous quality.
The revamp focused on incorporating the Product Operating Model (POM) principles of 'product' and outcomes into the competency framework.
ASOS introduced changes in language, KPI identification, product risk management, and role distinctions to better reflect the POM.
The QA Learning Programme (QALP) was aligned with the competency framework to support skills development and growth.
New role levels were introduced in the QA engineering competency to reflect mastery of skills and ability to apply them effectively.
The revamped competency matrix aims to empower QA engineers for growth, align with the POM, and remain adaptable for the future.
ASOS emphasizes continuous improvement, striving to ensure that the QA engineering competency evolves in parallel with changing needs and standards.

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Medium

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Determining market readiness for software products (english)

Revenue is generated when a product is considered market-ready in the defined target group.
Market readiness is a metric that describes how usable and valuable a product is for the target group.
Requirements represent solutions to problems in business processes the product supports.
Identifying market clusters and understanding supported processes are key in determining market readiness.
Standardization plays a crucial role in achieving high market readiness.
A 7-phase model of product maturity was developed for assessing market readiness.
Investments in market readiness are needed early in the product lifecycle.
Market readiness serves as an early indicator of software performance.
Product lifecycle phases correspond to different levels of market readiness.
Tracking key metrics like Net Promoter Score and quality index is vital for assessing market maturity.

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Medium

Product Management: Problem → Idea → Solution Cycle

Product management is about identifying a problem and developing a solution that effectively addresses it.
The product development journey follows a problem → idea → solution cycle, involving specific methodologies and teamwork.
Product Managers focus on turning ideas into reality by creating well-defined solutions for specific user groups.
Product management simplifies the process of creating products and does not require complex terminology.

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Medium

156

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What does a PM Do?

A product manager (PM) decides what should be built, why, and when.
The PM works with engineers to build the right features, but does not write code.
The PM sets priorities, analyzes data, and communicates with various stakeholders.
The PM iterates and tries to improve if the built product is not successful or discovers something new.

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Medium

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Blending Agile and Traditional Approaches for Success

A financial services company successfully modernized its core banking system by blending Agile development sprints with Waterfall compliance phases.
Creating 'dual-purpose' artifacts and using the right tools ensured smooth execution in the hybrid approach.
Aligning teams and using KPIs and dashboards helped track progress in the Agile-Waterfall model.
Other industries, such as construction and marketing, have also found success by combining Agile and Waterfall methodologies in different areas of their projects.

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