Make Research Fun, Efficient and Agile
Companies have little or no patience for long timelines for research deliverables; especially the ones that have adopted an agile environment. With evaluative research methods, sharing key findings can be done quickly and efficiently. However with generative research this can be a herculean task.
The act of analyzing research data in most cases is exclusively practiced by the researcher; who persistently digs through masses of data in search of answers, patterns and insights. In today’s corporate environment, combining efforts of the team towards achieving shared and intersecting goals is the main focus. What we might, in a simple term, call “Collaboration”. Combining the data analysis process with collaboration gives us a useful tool called Collaborative Analysis.
What will you learn from the talk?
The talk will present an overview of collaborative analysis method that not only helps get data analyzed quickly but also gets the product, design, and engineering teams more empathetic towards their end user. The following topics will be covered:
- Planning & Process
- Use Cases