Capture Real-Time Feedback With quantilope's Open-End AI Probing

"Open-ends" refer to question types that allow respondents to provide free-form, qualitative answers, rather than selecting from predefined options (like multiple-choice, Likert scales, or yes/no questions). They provide a blank text box (as shown below) for respondents to type their thoughts, opinions, explanations, or suggestions in their own words.

Common examples of open-ended questions include:

• "What are your overall thoughts on [product/service]?"

• "Please elaborate on why you chose [option]?"

• "What improvements would you suggest for [experience]?"

• "Is there anything else you would like to add?"

These questions are helpful for gathering rich, nuanced data that quantitative questions often miss, providing deeper insights into respondent motivations, perceptions, and experiences.
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How can you leverage open-ends in analysis?

To leverage open-ends in analysis, researchers have to transform the unstructured text data into actionable insights. quantilope's platform does this automatically, making open-ended text just as easy to leverage as quantitative survey metrics. 

With open-ended responses, researchers are able to: 

• Understand the "Why": Open-ends excel at uncovering the "why" behind quantitative data. For example, if a survey shows low satisfaction with a feature, open-ends can reveal specific pain points or suggestions for improvement that explain those low scores.

• Identify emerging themes and trends: By reading through responses, analysts can identify recurring themes, common sentiments (positive, negative, neutral), and emerging trends that might not have been anticipated during survey design (and therefore not asked about).

• Gather unsolicited feedback: Respondents often provide honest, valuable feedback on topics not directly asked about, offering new perspectives or highlighting unforeseen issues.

• Generate quotes and testimonials: Direct quotes from open-ended responses can be powerful in presentations and reports, adding a more 'human' element to survey data and illustrating key findings with real customer voices.

• Inform product development and strategy: Insights from open-ends can directly inform product improvements, service enhancements, marketing messages, and overall business strategy by highlighting genuine customer needs and desires.

• Prioritize issues: Because of the free-form nature of open-ends, respondents can often provide as much detail as they want. Researchers can measure the frequency and intensity of mentions in open-ends to help prioritize which problems to address first.

Open-ends provide a lot of great detail, but sometimes respondents' feedback will leave researchers and insights professionals with even more questions. That's why quantilope launched its Open-End AI probing feature to allow researchers to capture those follow-up questions while respondents are still in their survey link. 
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What is Open-End AI Probing and how does it add value?

quantilope's Open-End AI Probing significantly enhances the value from open-ended survey questions by automating follow-up questions using AI.

For example: 

Open-End AI Probing makes respondent feedback much more actionable.

With this new feature, researchers can gather: 

• Dynamic follow-up questions: The feature analyzes initial open-ended responses and automatically generates 1-3 relevant follow-up questions to probe deeper.

• Contextual awareness: Follow-up questions are tailored based on the specific content of the respondent's answer, focusing on areas that need clarification or expansion.

• Consumer motivations: It specifically targets the "why" behind opinions and statements to uncover hidden motivations and reasoning.

• Conversational feedback: The system supports a natural dialogue flow with multiple back-and-forth exchanges to create a more engaging respondent experience.

• Enhanced topic modeling: The additional responses gathered through probing integrate seamlessly with existing Topic Analysis capabilities, producing more nuanced insights for final reporting. 

In addition to the benefits above, Open-End AI Probing works across all languages supported by quantilope's platform, leverages AI to reduce human researcher bias, and helps businesses get closer to actionable business decisions.

To use this new feature, simply toggle it on when using an open-ended question in your survey, customize it for however many follow up questions you'd like, incorporate unique instructions, and start collecting rich open-ended feedback!