Amplifying Survey Insights Through AI Assisted Ideation
Survey writing requires in-depth industry expertise, but even the most seasoned experts can have blind spots when attempting to create complete answer sets, attribute lists and meaningful trade-off scenarios. This gap often leads to:
- Irrelevant answer choices for respondents.
- Underutilization of the “other” option.
- Incomplete stories with artificially elevated recommendations and insights.
In an effort to enhance our surveys, we explored if AI augmented question writing could improve the quality of data by building better, more complete, and meaningful answer sets.
Starting with a typical question and answer set, we leveraged Amplify to generate additional options, aligning the AI’s avatar with our target respondent profile. The response both validated current thinking and identified new attributes and choices to expand the original answer set.
AI assisted ideation led to a more complete, relevant set of answer choices for respondents, generating higher quality data and more meaningful insights from the analysis.
This refined approach presents a compelling case for AI’s role in elevating research through improved survey design, ultimately helping guide our journey to better business decisions.
