Concept for a persona driven recommendation tool for process modelling approaches

Katharina Helten*, Claudia Eckert, Kilian Gericke, Pieter Vermaas

*Corresponding author for this work

Research output: Contribution to journalConference articleScientificpeer-review

1 Citation (Scopus)
4 Downloads (Pure)

Abstract

In order to ensure successful product development processes, manifold modelling approaches have been developed, which cover a wide range of aspects such as responsibilities, duration of activities and dependencies. Still, an industry standard does not exist. Users of process modelling approaches are driven by different targets depending on the respective role. Currently, practitioners need to evaluate strengths and weaknesses of each approach by themselves and find little guidance for the selection. As a consequence, users might select unsuitable approaches and do not get the expected result. Thus, the intended applications of the model such as analyses or an optimization of the process are hampered. This could heavily affect companies´ success by product or project failures. The paper shows the concept of a recommendation tool that enables a suitable and effective selection of process modelling approaches. Key element is the description of relevant use cases and personas that represent the various needs of both different company types as well as different roles within such as process modellers and users. By identifying the most relevant case, each practitioner will be successfully guided to the most suitable modelling approach.
Original languageEnglish
Pages (from-to)711-720
Number of pages10
JournalProceedings of the Design Society
Volume1
DOIs
Publication statusPublished - 2021
Event23rd International Conference on Engineering Design, ICED 2021 - Gothenburg, Sweden
Duration: 16 Aug 202120 Aug 2021

Keywords

  • Design practice
  • Design process
  • Personas
  • Process modelling
  • Recommendation tool

Fingerprint

Dive into the research topics of 'Concept for a persona driven recommendation tool for process modelling approaches'. Together they form a unique fingerprint.

Cite this