Tier 4 [PLATINUM CLASS]

*Guidelines for Questions:

• No sensitive questions

• No PII (Personally Identifiable Information) data to be asked in open-ended questions

• Question text character length should not be more than 100

• Survey interview length for mobile survey is recommended to be not longer than 20 minutes for best quality of results

• As a general guideline, it’s recommended to keep the question text as concise and clear as possible to avoid overwhelming or confusing the respondents. Aim to keep the question length not longer than 60 characters, and avoid using complex words or jargon that may be difficult for respondents to understand on a smaller mobile screen.
• Additionally, consider breaking up longer questions into multiple, shorter questions or using skip logic to reduce the amount of text displayed on a single screen. This can also help improve the mobile user experience and increase the likelihood of respondents completing the survey.

AI-driven Features in Market Research Projects

AI-driven features in market research projects can include a variety of capabilities that help automate and optimize the research process. Some examples of AI-driven features in market research projects are:

• Predictive analytics: Using machine learning algorithms, AI can analyze large amounts of data to identify patterns and predict future outcomes.
• Sentiment analysis: AI can analyze customer feedback, social media posts, and other unstructured data to understand the sentiment behind a brand, product, or service.
• Image recognition: AI can analyze images and videos to identify objects, people, and other elements relevant to a market research project.
• Natural language processing: AI can analyze and interpret human language to extract insights from surveys, focus groups, and other types of customer feedback.
• Chatbots: AI-powered chatbots can conduct surveys and gather customer feedback in a conversational way, improving response rates and reducing bias.
• Data visualization: AI can create visual representations of complex data, making it easier for market researchers to identify trends and insights.
• Recommendation engines: AI can use data on customer preferences and behavior to generate personalized recommendations for products, services, and marketing campaigns.

Overall, AI-driven features in market research projects can help companies gather more accurate and actionable insights, while also saving time and reducing costs.