Short answer

Incorporate scenario planning and data-driven persona development into your design process to anticipate future user needs and system uncertainties.

Field
User-Centred Design
Source
European Transport Research Review (2023)
Method
Scenario-based design and data-driven persona development
Evidence
Strong effect

Integrating data-driven personas with future scenarios allows designers to proactively address diverse user needs and uncertainties in urban mobility system design. This user-centred design research insight is drawn from a 2023 study published in European Transport Research Review. Using Scenario-based design and data-driven persona development, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate scenario planning and data-driven persona development into your design process to anticipate future user needs and system uncertainties.

Study
User-Centred DesignRecentStrong effect

Data-Driven Personas and Scenarios Enhance Future Urban Mobility Design

Integrating data-driven personas with future scenarios allows designers to proactively address diverse user needs and uncertainties in urban mobility system design.

European Transport Research Review · 2023

01

Key Findings

  • 01Data-driven proto-personas can be created and validated.
  • 02Proto-personas can be transformed to reflect different future scenarios.
  • 03Full personas and synthetic populations serve as effective intermediary design objects for interdisciplinary collaboration.
02

Application

Design takeaway

Incorporate scenario planning and data-driven persona development into your design process to anticipate future user needs and system uncertainties.

How to apply

When designing new urban mobility services or infrastructure, develop proto-personas based on available demographic and behavioural data, then project these personas into 2-3 distinct future scenarios to test the robustness of your design concepts.

Project actions

  • 01When defining your target users, go beyond simple demographics and consider behaviours and potential future adaptations.
  • 02Use publicly available data sets (e.g., census data, transportation surveys) to inform your persona development.
03

Method & Evidence

AimHow can diverse future user needs be integrated into the design processes for urban mobility systems, considering future uncertainties?
MethodScenario-based design and data-driven persona development
ProcedureThe methodology involves creating data-driven proto-personas with assigned characteristics and behaviours, testing their validity, deriving geographical distributions, and transforming them for different future scenarios. These are then used to develop full personas and synthetic populations as intermediary design objects for collaboration between designers and simulation experts.
ContextUrban mobility systems design

Variables

IVIntegration of future trends and uncertainties; Data-driven personas and scenarios
DVAbility to design future urban mobility systems; Consideration of diverse user needs
CVUrban mobility context; Design process methods
04

Strengths & Limitations

Strengths

  • +Provides a structured method for integrating uncertainty into design.
  • +Facilitates interdisciplinary collaboration through shared design objects (personas, synthetic populations).

Limitations

The availability of detailed, localized data for persona creation can be a challenge. Defining truly distinct and plausible future scenarios requires careful research and critical thinking.

Reliability & validity

The validity of the personas relies on the quality of the input data and the robustness of the clustering and transformation algorithms. Reliability can be enhanced through iterative testing and refinement of personas with diverse stakeholders.

Think critically

How might the biases present in the data used to create personas inadvertently lead to the exclusion of certain user groups in future mobility designs?

05

Design Principles

"Design for adaptability by integrating future uncertainties and diverse user needs through data-informed scenario planning and persona development."

This approach bridges the gap between design practice and complex future uncertainties, enabling the creation of more resilient and inclusive urban mobility solutions. By grounding design decisions in data-informed user archetypes and plausible future conditions, practitioners can mitigate risks associated with unforeseen technological, demographic, or environmental shifts.

06

What This Means for Your Design

To design better future transport systems, we can create 'pretend people' (personas) based on real data and imagine different futures (scenarios) to make sure our designs work for everyone, no matter what happens.

How to use in your project

  • 1.Reference this study when discussing your user research methodology, particularly if you are using personas or considering future trends.
  • 2.Use the concept of scenario planning to justify the exploration of multiple design solutions or features.
07

Add to My Project

08

Quick Cite

Paragraph starter

This design project addresses the challenge of designing for future uncertainty by employing a data-driven persona and scenario-based approach, inspired by Gall et al. (2023). By developing proto-personas grounded in existing data and projecting them into plausible future scenarios, the project aims to ensure that the proposed solutions are robust, inclusive, and adaptable to evolving user needs and environmental conditions.

09

Source

European Transport Research Review

Integrating future trends and uncertainties in urban mobility design via data-driven personas and scenarios

journal · 2023

View source

Questions About This Research

What does the research say about data-driven personas and scenarios enhance future urban mobility design?
Incorporate scenario planning and data-driven persona development into your design process to anticipate future user needs and system uncertainties. Evidence: European Transport Research Review (2023).
Why does "Data-Driven Personas and Scenarios Enhance Future Urban Mobility Design" matter for design?
This approach bridges the gap between design practice and complex future uncertainties, enabling the creation of more resilient and inclusive urban mobility solutions. By grounding design decisions in data-informed user archetypes and plausible future conditions, practitioners can mitigate risks associated with unforeseen technological, demographic, or environmental shifts.
How can designers apply this research?
Incorporate scenario planning and data-driven persona development into your design process to anticipate future user needs and system uncertainties.
What were the main findings?
Data-driven proto-personas can be created and validated.. Proto-personas can be transformed to reflect different future scenarios.. Full personas and synthetic populations serve as effective intermediary design objects for interdisciplinary collaboration.
What research method was used?
Scenario-based design and data-driven persona development.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2023 journal from European Transport Research Review.
What should I do differently in my next project?
When designing new urban mobility services or infrastructure, develop proto-personas based on available demographic and behavioural data, then project these personas into 2-3 distinct future scenarios to test the robustness of your design concepts.
What are the limitations?
The effectiveness of the method is dependent on the quality and availability of input data for persona creation and scenario definition. The transferability to vastly different urban contexts may require adaptation.