Fostering Diversity in User Studies is A Celebration | Tech Mahindra

Fostering Diversity in User Studies is A Celebration

Technology and product innovation are setting new records for growth and development. Consumers now demand unprecedented levels of convenience and seamless accessibility. This shift has opened doors for product developers and stakeholders to innovate and introduce features that enhance user experience (UX) significantly. As a result, product companies are conducting extensive user studies to understand and gather insights into participant behavior and product usability.

User studies help these companies understand user interaction with a product, service, or a system in real-world scenarios, to gauge the user satisfaction levels, and uncover expectations of the individuals. These studies in multiple forms such as product testing, online surveys, behavior observations, interviews, empower the companies to make informed decisions, refine their products (design enhancements), tailor offerings, and better meet user needs and expectations.

Enterprises have started recognizing that a strong community is crucial for conducting high-quality user studies, leading to enhanced user experiences. They understand how diverse recruitment and bias mitigation strategies can help enterprises navigate through different opportunity areas in user studies and ensure effective data collection and utilization for product development.

Opportunities in User Study

User studies present unique possibilities, including diverse participants and varied study requirements. Therefore, to mitigate data bias and leverage study findings effectively during the phase of product development or enhancement, it is crucial to identify and capture data requirements accurately. It is imperative to thoroughly research and design study requirements which can enhance user experience across different user groups.

Navigating the user study opportunities
Navigating the user study opportunities

Embracing the Collective Richness of User Studies

Technology growth has facilitated the enhancement of device capabilities, enabling single products to serve multiple functions. While this is interesting and innovative, it brings ample opportunities to explore and design better products which can be multipurpose devices. To plan strategies for new products or feature development there is a strong need to bring diversity to the mix. Let’s unravel how diversity in participation, high-quality insights, and a strong community can help us explore the collective richness of user studies together.

1. Multifaceted Cohorts or Diverse Participants: Central to effective user studies is the incorporation of multifaceted cohorts to engage with participants from different demographics, geographies, and backgrounds, providing a more comprehensive understanding of user preferences. This diverse mix helps in mitigating bias during data collection, preventing exclusive focus on specific groups. This ensures the engagement of diverse participants who meet eligibility criteria fostering inclusivity in the study.

inclusive approach to user studies
inclusive approach to user studies


In addition, choosing participants from diverse mix, based on certain established exclusion criteria, ensures specificity in user studies. It helps prioritize design requirements for products which vary with projects—some involve simple activities like walking with testing devices or answering questions, while others necessitate participants with professional experience, such as athletes.

2. High-Quality Insights: A robust screening process and performance metrics must be in place to ensure the quality of participants and high-quality insights for user studies. Having access to diverse experiences and perspectives results in more nuanced and comprehensive feedback. Additionally, the diverse nature of participants can lead to innovative and out-of-the-box ideas, providing businesses with fresh perspectives on their products or services.

3. Building a Strong Community: A robust community-building approach is necessary for the dynamism of user study participants. Participant requirements may vary, and reusing participants is often limited to ensure diverse data collection. To successfully target the right participants, we need a supportive user study ecosystem which includes forging partnerships, engaging local networks, communities, and maintaining a robust database.

strengthening community bond
strengthening community bond


At Tech Mahindra, we prioritize community building, and through our platform, Populii, we provide an inclusive space for open talent to participate in multiple user studies and other AI-driven projects. As a crowdsourcing platform, Populii aims to cultivate collaboration between enterprises and gig workers and celebrate diversity, fostering a rich and varied mix of perspectives from over 200,000 global users.

inclusive in user studies
inclusive in user studies


Closing Thoughts

User studies offer valuable insights to product companies seeking to understand user interaction. Navigating complex requirements, data accessibility, privacy management, participant confidence, and effective data collection methods empower the companies to create superior user experiences, making this space compelling for exploration. These new-age approaches such as opting for diversity, strong community network and a supportive system with structured design process, study planning, right partner, managed participation, and rewards allocation enable shifting from traditional approaches to fresh perspective and embrace diversity in user studies. Tapping into crowdsourcing platforms or open talent networks can help businesses expand their participant pool, enhance study accuracy, and target diverse user demographics leading to a celebration of sorts to build their next-gen products.

About the Author
Mothiraj Ramalingam
General Manager, Digital Business Operations, Tech Mahindra Business Process Services

Mothiraj has over 20 years of experience in managing clients across various service lines. His expertise includes setting up delivery operations, establishing centers of excellence, solution design, and leadership in best practices. In his current role, he leads the digital data services practice and collaborates with internal and external stakeholders incl. clients across different industry verticals to provide our AI/ML data services solutions.