






















Technology products are embedded in every aspect of daily life from homes, cars, phones, schools, workplaces. They’re in entertainment, healthcare, safety, and beyond. While technology is often billed as making things easier, faster, cheaper, and fairer, it can cause harm at scale. People face frustration, harassment, financial loss, physical harm, and more.
What are “Flawed products?” Flawed products are products, services, and technologies developed without considering, including, and understanding the needs of underserved consumers expected to buy and use them.
I use the term “flawed” because if we are practicing user centered design, human centered design, customer centricity, design thinking, or similar methodologies we need to root our research and design in understanding and meeting the needs of users. If users are not being considered, included, and understood, there is a flaw.
With the historical and present-day pattern of creating products with little or no consideration of underserved groups, deliberate and sustained focus on designing products that meet the needs of underserved groups is an imperative. Flawed products particularly result in harm to racial minorities, the poor, the disabled, and in some cases women.
With social media and rapid news cycles amplifying the stories of people who have been negatively impacted by flawed products, consumers are demanding stronger protections against flawed technology products. To date a small number of state and local governments have banned harmful products like facial recognition software.4
Companies are also being pressured internally by employees and externally by advocacy groups and investors to reign in technology products. This push has strengthened and become intertwined in the broader racial justice and economic justice movements over the last few years, requiring individuals, teams, and companies to design products better.
We need a framework to proactively address common issues with product design and flawed products:
In 2019, I created the “Three Questions Do No Harm Framework” or “3Q-DO NO HARM Framework” to help individuals, teams, and organizations identify and mitigate potential harms before a product was released.
While the framework is deceptively simple with just three questions, the hard work is to not just ask the questions but answer them and act on the issues identified to avoid or mitigate harm. The 3Q-DO NO HARM Framework can be applied on the individual, team, or organizational level.

To actively identify and resolve your knowledge gaps, ask research, design, and development teams as well as research participants, “Who’s not here?” A lack of awareness, understanding, and representation of different groups and their needs contributes to flawed products that create problems.
It’s the responsibility of all team members to be aware, knowledgeable, and focused on inclusive research.
Identify unintended consequences and mitigate beforehand, designers must actively consider what harm their product might do particularly for vulnerable groups.
Take corrective action to eliminate or mitigate any harms before the product is launched.
Planning for the unhappy path by ensuring the path to resolving problems is clear and fast. While the intent is to design so everything works perfectly, technology often doesn’t work as designed for all users.
The “3Q-DO NO HARM Framework offers a simple structure to help individuals, teams, and organizations to take action to avoid the harmful effects of poor product decisions. There’s an urgency brought on by consumers, advocacy groups, and governments demanding companies provide better products and eliminate harmful patterns.
1 https://www.statnews.com/2019/10/24/widely-used-algorithm-hospitals-racial-bias/
2 https://www.buzzfeednews.com/article/ryanmac/facial-recognition-local-police-clearview-ai-table
3 https://www.nature.com/articles/d41586-021-00868-5
4 https://edition.cnn.com/2021/05/18/tech/amazon-police-facial-recognition-ban/index.html
Featured photo by Headway on Unsplash.
此内容由惯性聚合(RSS阅读器)自动聚合整理,仅供阅读参考。 原文来自 — 版权归原作者所有。