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Quick-Start Guide: Prompting Respondent Uploads

Get prompting immediately with our quick start guide - utilise our sample prompts and learn why they work. 

We know that mastering the art of prompt design can take a little time, but you don't have to wait to get powerful, actionable insights. We want you to get started right away!

The fastest way to get meaningful analysis from your data in the AI View is to use a well-written prompt. Forget the theory for now—start here with perfect examples you can copy and paste to get instant, useful results. After you’ve gained confidence with these templates, you can move on to our Deep Dive article to design your own custom prompts.

Pro Tip: Notice that all our sample prompts include a request for quotes and timestamps. This is a mandatory step for great analysis! It forces the AI to surface the instant proof and source location for every finding, making your insights trustworthy right away.


Theme Identification and Analysis

This is the most common use case: finding patterns and grouping similar responses.

📋 Sample Prompt (Copy & Paste)

"In this task, respondents were asked to describe the perceived [describe topic e.g., benefits of their current diet]. Identify recurring themes from the selected responses. Focus on themes that primarily relate to [topic/concept/lens e.g., health and energy]. For each theme include a clear description and two representative quotes with one timestamp for each quote."

💡 The Breakdown: Why This Prompt Works

  • Context/Task: The prompt clearly states the original question ("describe the perceived benefits...") and the job ("Identify recurring themes").
  • Focus Area: It narrows the lens by saying "Focus on themes that primarily relate to health and energy," ensuring the AI ignores irrelevant data.
  • Constraints: It requires a clear description and two representative quotes with a timestamp, preventing generic or unsupported themes.
  • Structure: The structure is implied (list of themes with sub-details), ensuring clean output.

Sentiment and Emotional Tone Uncovering

Use this prompt to quickly gauge the overall feeling or attitude expressed by participants towards a specific topic.

📋 Sample Prompt (Copy & Paste)

"In this task, respondents reflect on [describe task/what is being carried out e.g., their food choices and how they make them feel]. Detect the overall emotional tone for each response. For each response, clarify it as either positive, neutral, or negative. To support each classification, include one quote with one timestamp and explain why it fits into that classification."

💡 The Breakdown: Why This Prompt Works

  • Task/Focus Area: The instruction is highly specific: "Detect the overall emotional tone" and classify it into positive, neutral, or negative.
  • Constraints/Details: It forces the AI to provide evidence by requiring one quote with a timestamp and an explanation for the classification, making the analysis trustworthy.
  • Context: It provides the backdrop ("respondents reflect on their food choices..."), helping the AI differentiate emotional language from factual reporting.

Creating Persona Summaries

This prompt is designed to help the AI extract key attributes from multiple responses and synthesize them into a concise profile.

📋 Sample Prompt (Copy & Paste)

"In this task, respondents describe their [describe routines and motivations e.g., food routines, lifestyle, and motivations]. Use what you know about them to create a short persona summary. Focus on the following data points: [details required e.g., Age, Key dietary habits, Main motivations for food choices, and one memorable quote]. Write each persona as a short profile paragraph, and keep each persona under 100 words."

💡 The Breakdown: Why This Prompt Works

  • Task/Structure: It clearly instructs the AI to create a short persona summary and provides the final structure constraint: short profile paragraph and under 100 words.
  • Focus Area/Details: By listing the exact data points required (Age, Key dietary habits, etc.), you ensure the AI pulls only the most relevant information and ignores fluff.
  • Context: It gives the AI background on the type of data being reviewed ("routines and motivations") to inform the profile synthesis.

Comprehensive Summary Generation

Use this for general reporting or quickly catching up on what a large selection of participants has said on a broad topic.

📋 Sample Prompt (Copy & Paste)

"Analyse all selected responses where participants introduce themselves and discuss their [context e.g., daily lives and diets]. For each respondent, write a clear summary focusing on the following insights: [details required e.g., Daily Routine, Dietary Habits, and How their diet fits into their daily lifestyle]"

💡 The Breakdown: Why This Prompt Works

  • Context/Task: It clearly defines the scope by specifying both the type of participant data ("where participants introduce themselves...") and the job ("For each respondent, write a clear summary").
  • Focus Area/Details: It uses a list of required insights to structure the output. The AI must cover Daily Routine, Dietary Habits, and Lifestyle fit, ensuring no critical information is missed in the summary.