The Plain Person’s Guide to Plain Text Social Science: A Tried and True Framework for Prioritizing User Research

The Plain Person’s Guide to Plain Text Social Science: A Tried and True Framework for Prioritizing User Research

When it comes to conducting user research, product teams often find themselves faced with the challenge of determining how to invest their limited time and resources. Should they embark on time-consuming primary research, or is it better to simply "ship it and measure it"? In order to make an informed decision, product teams can rely on a framework that takes into consideration two key factors: problem clarity and risk.

The first axis of the framework, problem clarity, requires teams to ask themselves if they can crisply and clearly articulate the customer's problem. In order to confidently answer "yes" to this question, there needs to be reasonable evidence supporting the customer problem. This evidence should ideally come from both qualitative and quantitative sources, providing a comprehensive understanding of the problem at hand.

The second axis, risk, focuses on the potential consequences of getting a product decision wrong. This includes considering the costs associated with reengineering and redesigning a feature, as well as the cost of losing customers. However, it's important to note that the concept of risk extends beyond financial costs. For example, there may be legal implications or a risk of poor product-market fit that needs to be taken into account. In organizations that utilize design systems, introducing a new design pattern would fall under this category. The upfront research investment is justified by the goal of getting it right and creating a consistent user experience.

By combining problem clarity and risk, product teams can prioritize their user research efforts effectively. If a problem is well-defined and the risk of getting it wrong is high, investing in extensive research becomes crucial. On the other hand, if the problem is less clear and the risk is relatively low, it may be more appropriate to rely on existing data or launch the product and gather feedback to iterate on later.

In addition to the framework, there are a few actionable pieces of advice that product teams can implement to optimize their user research process:

1. Regularly communicate with customers: Establishing a feedback loop with customers is essential for staying in touch with their needs and pain points. Whether through surveys, interviews, or user testing sessions, actively engaging with customers can provide valuable insights for decision-making.

2. Conduct iterative research: Instead of viewing user research as a one-time event, consider it as an ongoing process. By conducting research iteratively, teams can continuously gather feedback and make informed adjustments to their product strategy.

3. Collaborate across teams: User research shouldn't be limited to the product team alone. By involving stakeholders from different departments, such as marketing, sales, and customer support, a more holistic perspective can be gained. This collaboration can lead to better problem understanding and more accurate risk assessment.

In conclusion, prioritizing user research requires a thoughtful approach that takes into account problem clarity and risk. By using a framework that considers these factors, product teams can make informed decisions about investing their time and resources. Additionally, implementing actionable advice such as regular customer communication, iterative research, and cross-team collaboration can further enhance the effectiveness of the user research process.