---
title: The research motive & guardrails
description: Set a hidden research goal and establish ethical boundaries — topics to avoid, disclosures to make, and tones to keep.
canonical: https://chatwisp.ai/knowledge-base/ai-interviewer/motive-and-guardrails
updated: 2026-08-12
---

# The research motive & guardrails

# The research motive & guardrails

## Your hidden research motive

A **motive** is your confidential research goal — the real thing you are trying to learn beneath the surface. For example: "Find out whether slow performance is the real reason people cancel, without asking about speed directly."

The motive is **never shown to respondents** and never spoken aloud. Instead, it quietly sharpens your [interview](/blog/ai-moderated-interviews-guide)er's curiosity toward your actual objective while staying completely ethical. The AI may re-emphasize a relevant theme, but it cannot ask leading or manipulative questions — and ChatWisp has built-in protection so this hidden intent can never leak to a respondent.

The value: you get conversations that gently surface what you actually need to know, without tipping your hand or biasing the answers.

## Guardrails — ethical boundaries

Guardrails are rules your interviewer always honors:

- **Off-limits topics** — subjects to never raise (for example, "don't ask about salary"). The interviewer will not raise them, ask about them, or probe deeper even if a respondent brings them up.
- **Required disclosures** — things to always say up front ("let people know this conversation is recorded").
- **Tone constraints** — guidance like "keep it light and fun, never ominous."

## Welcome and closing screens

Frame your conversation with optional, rich messages shown before the form starts and after it ends. Use them to set context, build rapport, or thank people and point them to next steps — with text plus video, images, or embedded media.

## Related

[Respecting your respondents](/knowledge-base/ai-interviewer/respecting-respondents) · [Let your interviewer answer questions](/knowledge-base/ai-interviewer/knowledge-grounding)