Aim: to provide both qual and quant insight into consumer opinion on your product
Example questions: What do you think about…?
How do you feel about…..?
What’s your opinion of…..?
What are your thoughts on…..?
Number of options to test: one
Results format: Machine Learning technology analyses each of the text responses and automatically categorises them as either Positive, Negative or Neutral, provided in an exportable table. In addition, there are unigram and bigram word clouds and a word frequency table.
Best for: understanding opinion on macro trends, your product and/or category while gathering responses and consumer language for use in multi or single answer qual steers.
Example:
We chose to run a Sentiment steer asking 'What's your opinion of Marmite?'. Here are the results:
The results shows that our community is torn over the product. They either love it or hate it!
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