UXDX Community:Product Growth: Data, CX, and Research Strategies

How can teams be sure that they’re taking on the most valuable research projects? How might we avoid taking on projects that we think are solid only to have insights fall flat?

Join Alli as she shares a prioritisation framework to identify when and what type of research is needed based on project goals and considerations - and sometimes where research might not be necessary too.

This session empowers researchers, designers, product managers, and other product team members with a hands-on application to boost confidence that your team is carrying out high value research with a high impact on business metrics.

In today's competitive and fast-changing market, product managers need to leverage the power of data to drive product growth and innovation. Big data, data science and machine learning are key tools that can help product managers understand customer needs, identify market opportunities, optimize product features, and measure product performance.

Mapping quantitative and qualitative research onto the different stages of the customer journey yields vital insights to assess and optimize the overall experience. However, execution can be challenging, especially for mature organizations with existing fragmented efforts across many departments.

This presentation explores best practices for consolidating and aligning metrics and research to map the journey and enable actionable insights. This is a challenge of change management, as well as obtaining the right data. Tactics covered include organizing research instruments, conducting targeted research to minimize customer burden, and analyzing for gaps and inconsistencies. A well known, real world client example will demonstrate common challenges of mapping the journey in complex organizations and how to overcome them.