Contextual Tips
Get key points and confidence scores with your answers.
Overview
Contextual Tips provides structured answer output with:
- Key Points: Bullet-point summary of main ideas
- Confidence Score: How confident the LLM is (0-100)
This helps you quickly understand what to cover before reading the full answer.
Enabling Contextual Tips
- Open Settings (gear icon)
- Scroll to Advanced Settings
- Toggle Contextual Tips on
How It Works
Without Contextual Tips
The LLM generates a plain text answer:
I've been working with React for about5 years. Started with class components
and then moved to hooks when they became mainstream. Most recently, I led a
team building a real-time dashboard that handles 100K+ concurrent users using
WebSockets and optimized re-renders...With Contextual Tips
The LLM generates structured output:
KEY POINTS:
- 5 years of React experience
- Started with class components, transitioned to hooks
- Led team on real-time dashboard project
- Handles 100K+ concurrent users
CONFIDENCE: 85
ANSWER:
I've been working with React for about 5 years. Started with class components
and then moved to hooks when they became mainstream...Displayed in UI
Intervu parses this and displays:
- Key Points as bullet points above the answer
- Confidence as a visual indicator
- Answer as the main content
Using Key Points
During the Interview
Key points give you a quick overview:
- Glance at the bullet points
- Structure your response around them
- Expand with your own words and examples
Example Flow
Key Points Show:
- 5 years React experience
- Led team on dashboard project
- 100K+ concurrent users
You Say:
"I have five years of experience with React. One project I'm particularly proud
of is a real-time dashboard where I led a team of five engineers. We were able
to handle over 100,000 concurrent users through careful optimization..."Understanding Confidence
What Confidence Means
Confidence indicates how certain the LLM is about the answer:
| Score | Meaning |
|---|---|
| 90-100 | Very confident — answer is likely accurate |
| 70-89 | Confident — good answer with minor gaps |
| 50-69 | Moderate — answermay need verification |
| 0-49 | Low confidence — verify before using |
When Confidence is High
- Question is clearly related to your resume
- Standard interview questions
- Technical questions in your domain
When Confidence is Low
- Question outside your experience
- Vague or ambiguous questions
- Topics not covered in your resume
Interpreting Low Confidence
Don't dismiss low-confidence answers entirely:
- Use as a starting point
- Add your own experience
- Clarify with the interviewer if needed
- Mark as "I'm not as familiar with that"
Customizing the Prompt
The structured output is injected into the system prompt:
Structure your response as:
KEY POINTS:
- [key point 1]
- [key point 2]
- [key point 3]
CONFIDENCE: [0-100]
ANSWER:
[Your detailed answer here]You can modify this in your custom system prompt if needed.
Performance Considerations
Token Usage
Contextual Tips increases token usage:
| Mode | Approximate Tokens |
|---|---|
| Without Tips | 200-500 per answer |
| With Tips | 250-600 per answer |
The increase is minimal for most use cases.
Response Time
No significant impact on response time.
Best Practices
When to Use Contextual Tips
✅ Good for:
- Quick-glance interviews
- Need to understand key points fast
- Want confidence indication
❌ Not needed for:
- Reading full answers anyway
- Very short answers
- Rapid-fire questions
Combining with Other Features
Contextual Tips works well with:
- Answer Ratings — Rate based on key point accuracy
- Advanced Mode — Tips for extracted questions
- Queue Mode — See key points for multiple answers
Example Output
Technical Question
Question: "What's your experience with TypeScript?"
Key Points:
- 4 years TypeScript experience
- Migrated JavaScript codebases to TypeScript
- Strong type safety practices
- Experience with generics and utility types
Confidence: 92
Answer: I have four years of experience with TypeScript, starting with simple type annotations and progressing to advanced features. I've migrated several JavaScript codebases to TypeScript, which improved our code quality significantly...
Behavioral Question
Question: "Tell me about a time you had to learn a new technology quickly."
Key Points:
- Learned Docker in one week for deployment project
- Had to containerize 5 microservices
- Used official documentation and community resources
- Successfully deployed before deadline
Confidence: 78
Answer: At my previous company, we needed to containerize our microservices for deployment. I had a week to learn Docker from scratch. I started with the official documentation, broke down the learning into...
Troubleshooting
Key Points Not Showing
Causes:
- Contextual Tips is disabled
- LLM isn't following the format
Solutions:
- Verify the setting is enabled
- Try regenerating the answer
- Check if model supports structured output
Confidence Always Low/High
Causes:
- Model isn't calibrated for confidence
- Prompt needs adjustment
Solutions:
- Try a different model
- Adjust system prompt to emphasize accurate confidence scoring
Key Points Incomplete
Causes:
- Answer was cut off mid-generation
- Model hallucinated key points
Solutions:
- Regenerate the answer
- Rate down to indicate poor extraction
Next Steps
- Answer Ratings — Learn from your feedback
- Advanced Mode — Question extraction