Customers Innovation Team
As the Innovation Designer for ABP's Customer Innovation Team, my primary role was to address communication gaps between ABP and its participants. I spearheaded customer interviews, led creative sessions with various teams, and developed prototypes and MVPs. Through user testing and quantitative research, I presented key findings and actionable solutions to ABP's board, empowering stakeholders to act on our insights. In this project I worked together with my design friend Robert Lijbers.
Our research and engagement efforts
Invitations: Reached out to 86,184 customers.
Customer Interviews: Engaged with 227 customers across 12 locations.
Demographics: Interviewed 118 men and 109 women, aged between 26 and 74.
Questionnaire Depth: Posed 1,542 distinct questions to participants.
User Behavior: Analyzed 30,122 click behaviors.
Advanced Analysis: Placed 42 participants under an MRI scanner for deeper insights.
Stakeholder Engagement: Conducted interviews with 62 stakeholders and experts.
Project Realization: Completed 14 projects over 1.5 years, resulting in 254 unique solutions.
Prototyping: Developed approximately 54 prototypes/MVPs.
Problem statement. The perception and trust of the pension fund has changed. Economies shift, rules change, the population is getting older, and complexity is increasing. Pensions are something to care about later, not now. Participants are therefore harder to activate, have less trust, and are less willing to contribute. Communication has a key role in this.
Before trying to develop a solution to engage (younger) people into pensions, we needed to obtain more understanding on the following: What information are participants looking for and when? How and where do participants search for information? In what ways can we make searching for information easier? How can we transfer knowledge in an easily accessible manner?
We collected this information from expert conversations with call center agents and data, pension information officers, and marketing department representatives, among others. By analyzing frequently asked questions at the call center and click paths from ABP.nl and MijnABP, the conclusion of our preliminary investigation: Participants search for personal information.
We cause confusion for participants
One of the most important lessons is that ABP, but also many other companies that have a MY environment, separate explanations from personal data and settings. They are often in two different environments and usually also separated via a password.The result is that users do not read explanations because they are not relevant and too generic for their specific question, and they cannot interpret their personal data and settings in the MY environment because there is no explanation.
Bring personal information and explanations together
Ideation sessions
By joining together in Crazy Eight ideation sessions, we come up with different solutions in a short time. From these multiple solutions, we test two or three feasible ideas among users. We use guerilla testing for this. At a train station, airport, shopping mall, or other places where there are many people, we briefly test our ideas. This process usually results in one or two winners. We work out one of the winners in a prototype where we can test the operation in reality.
In this case, we came up with the idea of breaking all information into information snacks, combining it with personal data, and presenting it to the user via a conversational UI.
Results & Conclusion
✴Quantitative (n = 1.007)
Our lessons
People are difficult to activate to arrange complicated financial matters such as retirement for their future. They may think it is important, but will also think, “It will come later.” And then daily activities take precedence. By repeating several times the necessity of planning ahead, you can persuade some people to really take action. But you can’t keep spamming people.
First ideations
Many new ideas came from our creative sessions. Because we were initially focused on communicating, many ideas were also focused on that. Our first ideas didn’t change behavior and therefore failed.
After additional interviews with users and people in the financial sector, we gained new insights. We discovered that our participants use their banking app an average of 37 times a month.
Response to first prototypes of Pension in banking app
Learning: people look on average 37 times a month in their Bank App on their mobile Phone
Pension in your banking app Version 2
We obtained many new insights from telephone conversations with the first test persons, the 312 ABP participants who engaged in new face-to-face usability testing and quantitative testing. The biggest concerns people had related mainly to the concern that banks would have access to retirement data, leading to privacy issues. Indicate clearly in the prototype flow that banks do not have access to their personal pension data attracted the last doubters.
Research with 314 ABP participants
In this case, we came up with the idea of breaking all information into information snacks, combining it with personal data, and presenting it to the user via a conversational UI.
Results & Conclusion
✴Quantitative (n = 1.007)