Research Objective

• A company needed to gain a better understanding of perceptions of their hiring processes. They had a large set of unstructured data from more than 400 participants and needed to categorize that data by sentiment and theme in order to be actionable.

Scope & Methodology

• The qualitative feedback was reviewed in order to identify categories
• Tags and code frames were built and approved by the client
• A reporting layout was designed with multiple data splits and cumulative attributes
• Key themes and areas for improvement in hiring practices were identified
• Recommendations to improve critical activities in the hiring value chain were made

Value Delivered

• The client gained a clear understanding of the key issues associated with their hiring process and was able to identify strengths to retain and weaknesses to improve.

Learn more from our case studies

• Sentiment and Content Analysis of Qualitative Consumer Comments – A food survey + text analysis case study
• Understanding Teenage Needs, Lifestyles, and Communication | An online community case study
• Understanding Patient Preferences to Inform Differentiation Strategy – A medical device patient survey case study

Research Objective

• A food company completed a food questionnaire which had generated a large number of comments. The comments were not in an actionable format and needed to be condensed into key issues.

Scope & Methodology

• The content and sentiment of the consumer comments were carefully analyzed. They were categorized into standard food categories as well as categories customized to the client’s brand.

Value Delivered

• The client gained a more precise and actionable understanding of qualitative opinions and was able to understand both positive and negative perceptions of their brand in relation to a number of key categories.

Check out other food case studies

• Developing a New Nutritional Pasta Product – A survey + desk research case study
• Identifying An Optimal Set of Flavor Variants to Achieve Incremental Reach | Case Study
• Choosing a Set of Flavors to Minimize Substitutions – A food survey + data analytics case study