Adding Form Fields to Conversation Outlines

Updated: March 30, 2026

Form fields let you capture the same details across conversations without interrupting the participant. Instead of showing a rigid questionnaire, the agent extracts specific data points from what people say and shows them as structured, scannable data after the conversation.

Use Cases

Form fields are ideal when you need to:

  • Collect consistent data across conversations - Ensure every participant provides the same core information
  • Surface key details - See critical facts without reading full transcripts
  • Segment participants - Use structured data to group and analyze responses by specific attributes
  • Track specific metrics - Capture quantifiable or categorical information alongside qualitative feedback

Common use cases:

  • Onboarding interviews capturing use cases, goals, and referral sources
  • Feature feedback sessions tracking current usage patterns and pain points
  • Customer research identifying company size, role, and decision-making authority
  • User testing documenting technical environment and experience levels

Adding Form Fields to Your Research Outline

1. Open your research outline

Navigate to the research outline where you want to add form fields. You can add fields to new or existing outlines.

2. Instruct Perspective conversationally

Tell Perspective exactly what information you want to capture. Be specific about the fields you need.

Example instruction:

Add form fields for the following:- The user's main use case- The goals they hope to achieve with our service- How they learned about our product

Chat interface showing form field request

Chat interface showing form field request

Request form fields conversationally by listing the specific information you want to capture.

3. Review the updated outline

The research outline will update within a few seconds. Your new form fields will appear in the outline structure alongside your other research components.

Research outline showing newly added form fields

Research outline showing newly added form fields

Form fields fit into your existing conversation outline.

Your form fields are now active. The agent will infer or collect them during conversations that use this outline.

Viewing Form Field Results

In post-interview emails

Team post-interview summary emails include form fields and the participant's answers at the top when structured data is available, making key information immediately visible.

Email showing form field responses

Email showing form field responses

Team post-interview summary emails display form field data prominently for quick scanning.

In the product interface

Open the Form Data tab for any conversation summary directly in Perspective. This view displays all structured data captured during the interview.

Form fields view in conversation summary

Form fields view in conversation summary

Access form field data from any conversation summary using the Form Data tab.

In automations and analysis

Form field values are stored as structured output. They are included in webhook and automation payloads, can be sent to downstream tools, and can be analyzed in Analysis Sessions.

For delivery patterns, see Automations and Automation Recipes.

Best Practices

Keep fields focused. Limit form fields to 3-7 essential data points. Too many fields can make the interview feel like a checklist rather than a conversation.

Use clear, specific field names. Instead of "Background," use "Years of experience in role" or "Current platform used." Specificity helps the AI extract accurate information.

Let conversation guide collection. Form fields work best when they capture information that naturally emerges during conversation, not forced questions.

Combine with open-ended goals. Use form fields for structured data while your research goals drive deeper qualitative exploration.

Review fields after testing. Run a practice interview to ensure form fields capture the right level of detail and aren't creating awkward conversational moments.

Common Pitfalls & Fixes

Too many form fields → Reduce to only essential data points. If you need 10+ pieces of structured data, consider whether some belong in participant screening instead.

Vague field descriptions → Be specific. "Company info" is vague; "Company size (number of employees)" is clear and actionable.

Duplicating research goals → Form fields should capture factual, structured data. Save exploratory questions and deeper insights for your research goals.

Overlooking the data → Form fields are only valuable if you use them. Build a habit of reviewing form field summaries before diving into full transcripts.

When to Use Form Fields

Add form fields when you need consistent structured data alongside the transcript.