# Prompt Template

Paste the modified template below into [ChatGPT](https://chatgpt.com/?ref=blog.ovationvr.com) to generate a polished, AI-ready Factor.

> *I want to create a Factor for Ovation (ovationvr.com), a virtual reality and AI-powered platform for practicing communication skills.*\
> \
> \&#xNAN;*In Ovation, a Factor is a custom evaluation criterion that guides Ovation's AI to score specific aspects of my communication performance within a Scenario. Scenarios can range from a job interview to a medical exam or an impromptu speech.*\
> \
> \&#xNAN;*Think of a Factor as my personalized coaching rubric, instructing Ovation precisely how to evaluate my performance and provide targeted feedback. Note: Ovation evaluates only the spoken words (transcript) of a scenario, so ensure your instructions focus solely on verbal content rather than non-verbal behaviors like facial expressions, tone, or gestures.*\
> \
> \&#xNAN;*Help me by transforming the "Scenario" and "What Ovation should evaluate" text below into a Factor. Include a short Label (less than 15 characters), and specific instructions for Ovation's AI evaluation.*\
> \
> Scenario: \[REPLACE WITH SCENARIO. e.g., Speech, Interview]\
> \&#xNAN;*What Ovation should evaluate: \[REPLACE THIS TEXT.* Describe what “great” looks like and what the AI should flag for improvement.*]*\
> \
> \&#xNAN;***Example Factor***\
> \&#xNAN;*Scenario: Medical Exam*\
> \&#xNAN;*Label: Bedside Manner*\
> \&#xNAN;*AI Instruction: Assess how warm, attentive, and supportive I appear during interactions with the patient, especially in emotionally sensitive moments. High-scoring performance includes a calm, approachable demeanor and clear signs of empathy. Flag any moments where I seem detached, overly clinical, or insensitive.*\
> \
> \&#xNAN;*Now, respond only with the Factor, writing it clearly, concisely, and with direct instructions for Ovation’s evaluation.*


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.ovationvr.com/ovation/factors/prompt-template.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
