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Enhancing Instagram’s User Experience using Design Thinking: Designing a Followed-Account…

In this blog post, design thinking was used to design a “followed-account categorization system,” an idea that emerged after empathising with three users of the Instagram app.
Quantitative and qualitative research was used to establish a user profile and identify key issues for exploration.
Empathy maps filled with user insights yielded several common pain points and desired gains across all three users.
Affinity Diagramming helped to cluster related insights and organise them into overarching themes, distilling user feedback into clear problem areas and opportunities for improvement.
Through prototyping, a core idea emerged: a followed-account categorization system.
Usability tests were conducted with two participants to evaluate the learnability and usability of the followed-account categorization system.
Results validated the core design choices and demonstrated that the feature aligned well with users’ organizational needs.
Future iterations could be enriched by a more rigorous research phase, expanded usability testing, and refinements to the interaction flow.
This project underscores the iterative nature of design and the importance of continuously evolving ideas based on user feedback and real-world testing.
The end goal of this design thinking project and the followed-account categorization system was giving users the power to manage their Instagram experience.

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Medium

224

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Three keys to great Customer Service

Great customer service focuses on solving root-cause problems rather than relying on automation.
Automation solutions like chatbots can save costs but may not always provide the best customer experience.
A proactive approach, such as notifying customers about return processing delays, can impress customers.
Companies should prioritize minimizing the need for customers to contact customer service as a measure of success.

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Medium

364

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Beyond Dollars and Deadlines : Solving the Puzzle of Hidden Challenges in Successful Project…

Project failures often have hidden challenges beyond obvious clues.
Overconfidence bias can lead to underestimating requirements and complexities.
Groupthink can result in poor decisions and lack of diverse perspectives.
Burnout can drain energy and hinder clear thinking in project teams.
Miscommunication can cause breakdowns and distort information.
Each company has its own culture, impacting project approaches.
Leadership challenges can either inspire or lead to chaos in projects.
External factors can disrupt project progress, similar to sudden storms for ships.
Project success goes beyond timeliness and budget adherence; it involves learning and making a positive impact.

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Hackernoon

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Tech Innovation and Cross-Industry Impact: Syed Aamir Aarfi on AI/ML Integration

Emerging technologies like AI and machine learning are being integrated into established industries such as e-commerce, supply chain and SaaS applications.
Syed Aamir Aarfi is a seasoned Senior Product Manager with vast experience in technical product leadership across different industries including AI and ML landscape.
A pragmatic approach is key to successful AI/ML adoption; it requires determining whether an AI/ML solution provides exponential value over alternative approaches. Aarfi stresses the importance of identifying areas within sectors where AI/ML has the highest impact and fostering a culture of experimentation and learning.
Aarfi integrates a robust quantitative analysis for his product strategies to ensure no aspect of customer feedback is overlooked. Aarfi employs an iterative process of design partnerships, rapid prototypes, data science experiments, and continuous validation cycles to refine solutions that go beyond functionality.
Introducing AI and ML into sectors like supply chain and e-commerce presents unique challenges that Aarfi has strategically navigated.
Aarfi’s approach to leading cross-functional teams is centered on three core principles; collaborative vision vetting, customer-centric approach, and iterative, agile process.
Generative AI and multimodal learning are the future of SaaS, e-commerce and supply chain industries, according to Aarfi.
Aarfi's impactful work across industries like e-commerce, supply chain, travel, and SaaS underscores his role as a tech innovator.
His forward-thinking contributions provide a model for industries adapting to fast-paced technological change.

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Medium

353

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Adapting Design Thinking to Create a Strategic Product Vision

Design Thinking is a human-centered problem-solving approach that helps create a cohesive strategic vision and a user-centered roadmap.
The first two stages and associated exercises of the Design Thinking approach are helpful in grounding a cross-functional leadership team to gain a shared perspective on the opportunities and threats the business is facing.
The ‘Define’ stage, in particular, is useful in outlining high-level strategy which can guide the building of strategic pillars, and ultimately an impactful multi-year roadmap.
The ‘How Might We’ exercise under the ‘Define’ stage involves brainstorming potential user problems starting with, ‘How might we…?’
Adapting Design Thinking’s Empathy and Define stages can lead to a roadmap rooted in genuine user and market needs rather than a wishlist of features pushed top-down from leadership.
The collaborative nature of Design Thinking supports cross-functional buy-in, helping teams feel invested in the strategic vision as each team can take part in its creation.
Leveraging Design Thinking to create a strategic vision allows organizations to stay flexible while centering on user needs.
The result is a strategic vision and roadmap that resonates with customers, users and other stakeholders, and provides a mechanism for internal teams to stay aligned and deliver meaningful outcomes.
In addition to providing structure, Design Thinking fosters enhanced focus and team empowerment by prioritizing real user problems.
A product leader’s role is to connect the product development team’s strategic “pillars” into a “North Star” statement that will provide direction and alignment across all teams within the company.

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Medium

214

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Project Pythia: Unleashing Collective Intelligence for Unstoppable Innovation

Pythia is a revolution in product development, combining collective intelligence, expert analysis, and AI.
It offers strategies and tools to implement crowd-sourced methodologies in product management.
Pythia empowers product managers with data visualization, predictive analytics, and scenario modeling.
The go-to-market strategy involves partnerships, direct sales, online marketing, and a freemium model.

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Medium

112

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Unlocking the Power of Next-Gen Product Management

The Generative AI era is transforming the way we work by automating repetitive tasks.
By harnessing AI, teams can focus on complex, high-value tasks and become specialists.
To create a skilled and adaptable team, start with small experiments and measure success.
Scaling requires fostering autonomy, mastery, and purpose, supported by coaches.

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Leah’s ProducTea

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Interactive Demos: PLG without the headache (Three part series)

Interactive demos can be incredibly beneficial for both sales-led and product-led companies as they provide a simulated experience of a product offering often split into audience types.
Interactive demos are easy to create and have almost no downsides/risks associated with them, making them a common tool to deploy and evaluate fast.
Interactive demos are increasingly a topic with advising clients, especially when discussing product-led growth.
Interactive demos are easy to build and maintain with low costs and can provide benefits such as increased revenue and deal flow.
Interactive demos are easy to sell internally, and salespeople can use data and lead insights from interactive demos to improve sales and gain new customers.
Interactive demos can be used in a variety of ways throughout the buyers' journey, making it a powerful tool for sales-led and product-led companies.
Using interactive demos can assist sales-led companies in building self-serve motion by setting up an interactive demo first and then working up to a trial or freemium.
Interactive demos can turn interested parties into advocates, using the demo to share knowledge within their company after watching it themselves.
Interactive demos are often the move for companies as they help buyers who have interest in a product without us accidentally treating them like users.
In summary, Interactive demos can be used almost always in B2B as they are a low risk effort and more often than not sales are extremely grateful to have a tool that works for once right out of the box.

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Medium

105

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Understanding the Roles: Product Owner vs. Product Manager

Product Owner and Product Manager roles are complementary.
In smaller companies, one person may handle both roles.
Separating the roles in larger organizations improves efficiency.
Understanding the difference helps build better products.

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Medium

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Teacher AI Use : Here’s why and why not.

Despite the release of more sophisticated AI models and increased training, AI usage among teachers has not increased.
The percentage of teachers using AI decreased from 33% in December 2023 to 32% in October 2024.
43% of American teachers have received training on AI, but AI usage has still decreased.
More teachers cited that they don't find AI applicable to their subject matter or grade as a reason for not using it.

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Producttalk

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Join 4 Upcoming Events on Continuous Discovery with Teresa Torres in December 2024

Join 4 Upcoming Events on Continuous Discovery with Teresa Torres in December 2024
December 4th: Continuous Interviewing: Unlock the Power of Story-Based Customer Interviews
December 5th: Product Discovery Discussion Sessions for Senior Leaders
December 9th: The What & Why of Continuous Discovery
December 11th: Identifying Hidden Assumptions: The Key to Faster Discovery Cycles

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Medium

252

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Guiding Principles for Product Excellence: How I Build Great Products

The author shares guiding principles for building excellent products.
These principles have been learned and adopted from exceptional founders and leaders.
The principles have been applied to tackle challenges in scaling B2B cloud business for mobile developers and SDLC automation.
They have also guided the re-launch of a former acquisition in mobile app distribution and management.

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15 Likes

Medium

275

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Google Glass vs. Apple Vision Pro: Product Management Lessons in AR/VR Wearables

Google Glass launched with a bold vision but faced hurdles.
Apple Vision Pro benefits from a more prepared audience and strategic differentiation.
Apple's gradual approach to AR eases consumers into the technology.
Apple Vision Pro aligns with high expectations for digital experiences.

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Logrocket

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A guide to sharing product learnings across teams

Effective sharing of product knowledge within an organization can contribute to better decision making, innovation, and alignment across teams.
Product managers play a vital role in facilitating insight management, which involves systematic and holistic capturing, processing, storing, and sharing of product insights.
Key objectives of using an insight management process include reducing waste, improving decision-making speed, enhancing quality, and minimizing effort.
Effective insight management can lead to more efficient cross-team alignment, innovation, and decision-making.
Insight management consists of five key phases: capture, process, store, share, and review.
Organizations must capture as many relevant insights as possible by continuously reviewing projects, and research initiatives through methods such as interviews, surveys, market review, and data analysis.
Efficient processing of insights involves cleaning up, reducing noise, and converging by reviewing captured insights weekly, discarding insignificant data, and maintaining renewed artifacts.
Storing relevant artifacts in an open accessible space with version control, using tools like Miro, enables easy reference, understanding, and updates.
Sharing recent updates on artifacts to relevant stakeholders must be conducted through platforms like Slack, regular ceremonies to summarize insights, and deeper inquiry sessions for critical insights.
Mistakes to avoid include overloading people with data, lack of ownership of the process, and collecting unactionable insights.

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Medium

260

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Speed Means Nothing Without Real Feedback

The agile era of software delivery puts too much emphasis on speed and ignores the other benefits of small batches.
Small batches remove complexity and prevent dangerous interactions when implementing changes in software development.
Small batches allow for redirection of investment and provide opportunities for early feedback, ensuring the intended impact of efforts.
Organizations that prioritize speed over feedback fail to connect the importance of feedback to their goals.

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