In this episode of Product Design for Learning, host Greg Arthur talks with Bo Duery, Impact Lead at Lepaya, about the pivotal role of data in designing and measuring learning programs. Bo shares insights from his journey from chemical engineering to Learning & Development (L&D), discussing why data should be an integral part of the design process. From setting actionable goals to using qualitative and quantitative methods, Bo shares strategies to help L&D professionals gather, analyze, and leverage data effectively.

Name: Bo Duery

Title: Impact Lead at Lepaya

Background: Bo’s career began in chemical engineering and operational improvement before transitioning into L&D, where he emphasizes data-driven decision-making for soft skills training and performance enhancement. His approach combines analytical rigor with empathy for the learner experience, advocating for data that both informs and inspires impactful learning solutions.

• Understanding Data’s Role: Data isn’t just numbers; it’s a tool for deeper insights into learner needs and program effectiveness.
• The Value of Observation: Observing people in their work environments provides context beyond raw data, uncovering practical challenges and learning gaps.
• Setting Realistic Goals: Establishing three key levels—organizational goals, audience needs, and program specifics—ensures clear alignment from the start.
• Balancing Qualitative and Quantitative Data: Combining surveys and interviews creates a balanced view, capturing both measurable outcomes and nuanced experiences.
• Iterative Analysis: Regular reflection on data helps teams adapt quickly, making data analysis a continuous, rather than a one-time, process.
• Using Gut Feeling Cautiously: While instincts can be valuable, they should be backed by data, especially in team settings where opinions vary.

Bo shares his journey from operational improvement in industries like manufacturing and healthcare to his current role in L&D. He discusses how his experiences underscored the importance of tracking and measuring performance, which led him to advocate for data-informed learning strategies.

Bo describes data as the investigative phase in design, where stakeholders align on questions, gather evidence, and distill insights. He emphasizes that data is essential in building a strong foundation, guiding teams before solutions are even considered.

Bo recommends starting with a clear understanding of organizational goals, the audience’s needs, and program objectives. He advises a tiered approach that explores organizational impact, individual behaviors, and specific program details, using both qualitative and quantitative methods for a complete view.

Bo emphasizes the value of in-person observation, shadowing, and direct interaction with learners to contextualize data. He advocates for exploring qualitative insights before relying solely on quantitative metrics, balancing the numbers with real-world context.

Bo advises balancing data collection with time and budget constraints. He suggests that confidence in presenting findings, especially to...