CrowdFolio: Understanding How Holistic and Decomposed Workflows Influence Feedback on Online Portfolios

Eureka Foong, Joy O. Kim, Mira Dontcheva, Elizabeth M. Gerber

Research output: Contribution to journalArticlepeer-review

Abstract

Freelancers increasingly earn their livelihood through online marketplaces. To attract new clients, freelancers continuously curate their online portfolios to convey their unique skills and style. However, many lack access to rapid, regular, and inexpensive feedback needed to improve their portfolios. Existing crowd feedback systems, which collect feedback on individual creative projects (i.e., decomposed approach), could fill this need, but it is unclear how they might support feedback on multiple projects (i.e., holistic approach). In a between-subjects study with 30 freelancers, we compared decomposed and holistic feedback collection approaches using CrowdFolio, a crowd feedback system for portfolios. The holistic approach helped freelancers discover new ways to describe their work, while the decomposed approach provided detailed insight about the visual attractiveness of projects. This study contributes evidence that portfolio feedback systems, regardless of collection approach, can positively support professional development by impacting how freelancers portray themselves online and reflect on their identity.

Original languageEnglish (US)
Article number3449096
JournalProceedings of the ACM on Human-Computer Interaction
Volume5
Issue numberCSCW1
DOIs
StatePublished - Apr 22 2021

Keywords

  • careers
  • crowdsourcing
  • feedback
  • freelancing
  • online professional identity
  • professional development

ASJC Scopus subject areas

  • Social Sciences (miscellaneous)
  • Human-Computer Interaction
  • Computer Networks and Communications

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