scholarly journals What's taking so long? A collaborative method of collecting designers’ insight into what factors increase design effort levels in projects

Author(s):  
Alexander Freddie Holliman ◽  
Avril Thomson ◽  
Abigail Hird ◽  
Nicky Wilson

AbstractDesign effort is a key resource for product design projects. Environments where design effort is scarce, and therefore valuable, include hackathons and other time-limited design challenges. Predicting design effort needs is key to successful project planning; therefore, understanding design effort-influencing factors (objective considerations that are universally accepted to exert influence on a subject, that is, types of phenomena, constraints, characteristics, or stimulus) will aid in planning success, offering an improved organizational understanding of product design, characterizing the design space and providing a perspective to assess project briefs from the outset. This paper presents the Collaborative Factor Identification for Design Effort (CoFIDE) Method based on Hird's (2012) method for developing resource forecasting tools for new product development teams. CoFIDE enables the collection of novel data of, and insight into, the collaborative understanding and perceptions of the most influential factors of design effort levels in design projects and how their behavior changes over the course of design projects. CoFIDE also enables design teams, hackathon teams, and makerspace collaborators to characterize their creative spaces, to quickly enable mutual understanding, without the need for complex software and large bodies of past project data. This insight offers design teams, hackathon teams, and makerspace collaborators opportunities to capitalize on positive influences while minimizing negative influences. This paper demonstrates the use of CoFIDE through a case study with a UK-based product design agency, which enabled the design team to identify and model the behavior of four influential factors.

2021 ◽  
Vol 1 ◽  
pp. 1391-1400
Author(s):  
Alexander 'Freddie' Holliman ◽  
Avril Thomson ◽  
Abigail Hird

AbstractThe quick and accurate estimation of design effort can be make or break for all but the largest of product design consultancies. Traditional design project planning see designers being taken away from the metaphorical drawing board to spend time assessing project briefs and estimating workloads. Typically these designers base these estimates on their tacit knowledge and experience, and for the most part, they are accurate. However, this is time-consuming and therefore (indirectly) costly, as time spent planning, is not time spent designing. Many more sophisticated approaches for estimating design effort have been developed, but many require large bodies of past data and sophisticated analysis, such as artificial neural networks; and others have highly-specific use cases.This paper proposes a new method to develop a design effort estimation tool for product design consultancies. This method captures the tacit knowledge and experience of design team members and the tool replicates it quickly and effectively; graphically modelling factors that influence design effort needs in product design projects.


2018 ◽  
Author(s):  
Hélène Sicotte ◽  
Andrée De Serres ◽  
Virginie Ménard ◽  
Hélène Delerue

2019 ◽  
Vol 34 (3) ◽  
pp. 111-137 ◽  
Author(s):  
Maud Dampérat ◽  
Florence Jeannot ◽  
Eline Jongmans ◽  
Alain Jolibert

This research focuses on the understanding of a team creative process (or co-creative process) by adding design and management inputs to the marketing approach. It proposes and empirically tests a co-creative process based on the three stages of the design thinking method: (1) need definition, (2) idea generation, and (3) solution prototyping. This model also includes the influence of individual variables –empathy, domain-relevant familiarity, and task involvement –at different stages of the co-creative process. The results validate the mediating role of idea generation between need definition and solution prototyping and the influence of the selected individual variables. The predictive validity of the co-creative process has been tested via the evaluation of the solution by experts. Several actions are proposed at each stage of the co-creative process to enable organizations to stimulate the creativity of their new product development teams.


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