Recently, creative workers frequently use online critique communities for feedback on their work, especially those with limited access to formal feedback resources. For example, design students like to ask for feedback for their portfolio and project work, product designers want to hear ideas about the logo they created, etc. Being aware of this trend, we want to understand what strategies seekers use to request feedback and whether those strategies are effective. 

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What we did:
  1. 1. We scraped and analyzed large scale data from a popular open online community dedicated for feedback exchanges

  2.  We recruited 12 active community members and conducted 12 semi-structured interviews on    strategies and challenges of online feedback exchanges.

  3. We developed a qualitative coding scheme via a semi-Grounded Theory approach

​Summary of Data Analysis Skill we used

Semantic Analysis 

  1. Bag of Words

  2. Latent Semantic Analysis 

  3. Topic Modeling 

  4. Cosine Similarity

Sentiment Analysis  

  1. Sentiment Polarization

  2. Grammar Mood


Inferential statistics 

  1. Generalized Linear Regression model

  2. Poisson Regression Model

I'll keep posted more details after CHI2020 submission.