Interchangeable Parts

Often existing methods within an org are well accepted by leadership. Persuading them to change whole systems of production and measurement is not something everyone wants to take on. So practitioners patch in listening deeply or convert a personas approach to thinking styles. Any small part of Data Science that Listens can serve to strengthen existing methods.

How It Has Worked

Many teams use listening deeply as a foundation for other methods. Read about some examples here.

How I apply Indi Young’s problem space research approach in coaching my mentees

Pei Ling Chin – 24-Oct-20

Objective:
Before I could listen deeply to my mentees, I need to assess how I currently listen.

Outcome:
By listening deeply, I can discover triggers that my mentees have experienced, and provide advice and guidance to overcome these triggers. I can beyond what went well and what went wrong.

Building Mental Model Diagrams

Tiago Camacho - 22-Sep-20

SEEK

Objective:
The design team shares what worked well and what needed to be adapted to the systems in place. They brought together people from different teams and backgrounds to collaborate in analysing data and building the mental model skyline.

Outcome:
Building a solid mental model skyline does take work, but we believe it’s worthwhile given the level of depth you gain on how people experience the domain that you and your organization are working in. The skyline offered us a solid foundation to move from research into a detailed visualisation in a systematic way.

mental model diagram with stickies beneath towers

Designing With Mental Models

Tiago Camacho - 20-May-20

SEEK

Objective:
The design team at SEEK wanted to see how all their research comes together to tell a clear story, in a way that teams to add their learnings on top of existing ones in a structured and straightforward way. Their research repository did not support this. The journey maps teams used lacked depth around problems people face. Additionally, they wanted to prepare for future expansion beyond Australia and Asia.

Outcome:
The mental model skylines make a great basis for building ever more complex models over time. By layering information, we can tell different stories about the insights and we can convey these visually and powerfully. Finally, we’ve hinted that mental model diagrams can further be aligned with and complemented by other frameworks, such as those based on Jobs-to-be-Done.

How listening deeply can transform you into a better leader, designer, researcher and team member

Pei Ling Chen - 6-Mar-20

Healthwise

Objective:
Why listen deeply?

Outcome:
Six improvements, including understanding my mentees better so I can tailor a mentoring program for them.

snippet of the poster showing "discover paths" and "identify the right path"

Post for 2018 IA Summit

Elizabeth Thapliyal, Ryan Kasper, Jennifer Padilla - 2018

Citrix

Objective:
The design team found several directions to go based on the mental model skyline. The manager wanted proof, in quant data.

Outcome:
The team wove the thinking styles into the JTBD survey to measure market potential by thinking style. The manager found it easier to understand and choose among the possible paths.

Image

Different Approaches to Losing Weight

Karen Taylor with Lauren Moler - 4-Mar-14

National Instruments

Objective:
Lauren got the greenlight to implement the mental modeling process in one area of NI’s business: it’s Academic Program.

Outcome:
The result was exceptional. Within six months of implementing the solution based on the mental models, the business unit achieved two key results: 70% increase in contacts, 51% increase in online revenue for National Instruments' academic program.

Indi's Published Writing on Strengthening Current Methods

When You Listen, What Are You Thinking?

Indi Young - 1-Nov-19

DMI Magazine

3 Ways to Select the Perfect Method for your Research Goal

Indi Young - 21-Dec-14

UXmas 2014

Indi's Recent Essays on Strengthening Current Methods

Hate Speech in Research

Indi Young - 17-Oct-18

What do you do when you're conducting research and the participant speaks in a biased or dismissive manner?