Overview
The Dashboard is your command center for understanding:- How many applications you’re submitting
- How fast you’re hearing back
- Which sources give you the best results
- Your interview rate and conversion funnel
Key Metrics
Total Applications
What it measures: The total number of job applications you’ve tracked in PIPELINE. Formula: Count of all jobs regardless of status. Why it matters:- Job searching is a volume game
- More applications = more opportunities
- Track your velocity over time
- Entry-level: 15-20 applications/week
- Mid-level: 10-15 applications/week
- Senior/specialized: 5-10 applications/week
Interpreting the trend
- ▲ Increasing: Good! You’re staying active.
- ▼ Decreasing: Are you getting discouraged? Set a weekly goal.
- Flat: Consider batch-applying to similar roles.
Active Companies
What it measures: Number of unique companies where you have applications in progress (Saved, Applied, Interview, or Offer status). Formula: Count of distinct companies excluding Rejected status. Why it matters:- Diversification reduces risk
- Don’t put all eggs in one basket
- More companies = more potential outcomes
- Minimum: 10-15 active companies
- Ideal: 20-30 active companies
- Too many: 50+ may be hard to track
Interview Rate
What it measures: Percentage of applications that resulted in at least one interview. Formula:(Jobs in Interview or Offer status) / (Jobs Applied or beyond) × 100
Why it matters:
- Shows the quality of your applications
- Indicates if your resume resonates
- Helps identify what’s working
| Experience Level | Good Rate | Excellent Rate |
|---|---|---|
| Entry-level | 5-10% | 15%+ |
| Mid-level | 10-15% | 20%+ |
| Senior | 15-25% | 30%+ |
| Specialized | 20-30% | 40%+ |
How to improve your interview rate
How to improve your interview rate
If your rate is below 5%:
- Tailor your resume for each job
- Ensure you meet 70%+ of listed requirements
- Highlight relevant keywords from job description
- Get your resume reviewed by peers or mentors
- Add a compelling cover letter
- Quantify your achievements with metrics
- Network with employees at target companies
- Apply through referrals when possible
- You’re doing great! Keep going.
- Focus on quality over quantity
- Be more selective about roles
Average Match Score
What it measures: Your average AI-calculated fit score across all jobs with scores. Formula: Average ofai_match_score field for jobs where score exists.
Score breakdown:
- 80-100: Excellent match — prioritize these
- 60-79: Good match — strong candidate
- 40-59: Fair match — possible stretch
- 0-39: Poor match — reconsider or major upskilling needed
Focus on high-scoring jobs
Jobs with 75+ match scores should get your best effort. Customize your resume and write a compelling cover letter.
Investigate low-scoring jobs
If you applied to several 30-40 score jobs, you might be applying too broadly. Refine your search criteria.
AI Match Score is generated automatically when a job description is provided. It analyzes fit based on skills, experience, and job requirements.
Secondary Metrics
Response Rate
What it measures: Percentage of applications that received any response (positive or negative). Formula:(Jobs with Interview or Rejected status) / (Total Applied jobs) × 100
Why it matters:
- Shows if your applications are being seen
- Silence often means filtered by ATS
- Low response rate = need to optimize resume keywords
- Average response rate: 40-60%
- Good response rate: 60-80%
- Excellent response rate: 80%+
Average Response Time
What it measures: Average number of days between applying and hearing back (interview invite or rejection). Formula: Average of(response_date - application_date) across all jobs with responses.
Why it matters:
- Sets expectations for follow-up timing
- Varies widely by company size and industry
- Helps you know when to follow up
| Company Type | Avg Response Time |
|---|---|
| Startups | 3-7 days |
| Mid-size | 7-14 days |
| Enterprise | 14-30 days |
| Government | 30-60 days |
Applications Over Time Chart
The time-series chart shows your application velocity across different statuses.How to Read It
- Lines
- Time Ranges
Each line represents a job status:
- Blue (Applied): New applications submitted
- Yellow (Interview): Interview invitations received
- Green (Offer): Offers received
- Red (Rejected): Rejections received
- Gray (Saved): Jobs saved but not yet applied
What to Look For
Consistent application volume
Consistent application volume
The Applied line should be steadily climbing. If it’s flat for 2+ weeks, you’re not applying enough.
Interview lag time
Interview lag time
There should be a delay between the Applied and Interview lines. If interviews lag by 2+ weeks consistently, companies are slow to respond.
Conversion funnel
Conversion funnel
Compare heights: Applied > Interview > Offer. A healthy funnel narrows at each stage but never drops to zero.
Rejection timing
Rejection timing
If rejections spike shortly after applications, you may be getting filtered by ATS. Optimize your resume keywords.
Top Sources
This metric shows which platforms give you the best results.Source Performance Table
| Metric | What It Means |
|---|---|
| Count | Total jobs from this source |
| Percentage | Share of your total applications |
| Progress bar | Visual representation of volume |
How to Use It
Identify your best sources
If LinkedIn gives you 60% of your interviews but only 30% of your applications, double down on LinkedIn.
Eliminate low-performers
If a source has 20+ applications but zero interviews, stop using it and reallocate time elsewhere.
Activity Panel
The Recent Activity feed shows your latest job search actions in reverse chronological order. What it shows:- Status changes (with timestamps)
- New jobs added
- Jobs deleted
- AI scores updated
- Gmail auto-updates (if enabled)
- Quick overview of what you’ve done recently
- Verify automation is working (Gmail scanner, Discord)
- Spot patterns in your activity
Using Analytics to Improve
Weekly Review Process
Set aside 30 minutes each week to review your Dashboard:A/B Testing Your Strategy
Use PIPELINE data to experiment:Test: Resume versions
Test: Resume versions
Create two resume versions. Apply to 10 jobs with each. Compare interview rates after 2 weeks.
Test: Cover letter vs no cover letter
Test: Cover letter vs no cover letter
For similar roles, submit with and without cover letters. Track which gets more responses.
Test: Application timing
Test: Application timing
Apply to some jobs immediately after posting, others after 3-5 days. See which timing works better.
Test: Salary expectations
Test: Salary expectations
Track if mentioning salary requirements affects response rate. Use Notes to track which applications included salary.
Red Flags to Watch For
| Red Flag | What It Means | Action to Take |
|---|---|---|
| Interview rate below 3% | Your resume isn’t resonating | Get professional review, add keywords |
| No applications in 2+ weeks | You’re stuck or discouraged | Set a daily application goal, start small |
| 50+ Saved, 0 Applied | Analysis paralysis | Batch-apply to 10 jobs in one session |
| All jobs from one source | Not diversified | Test 2-3 additional platforms |
| Response time increasing | Market is slowing | Increase application volume |
| Match scores declining | Applying too broadly | Tighten your search criteria |
Export Your Data
For deeper analysis, export your data:- Go to Settings → Data & Privacy
- Click “Export Data”
- Choose format: JSON (all fields) or CSV (spreadsheet)
- Analyze in Excel, Google Sheets, or your favorite tool
- Create custom charts and visualizations
- Calculate additional metrics
- Share anonymized data with career coaches
- Track progress over multiple months
Next Steps
Job Management
Learn best practices for organizing and tracking applications.
Integrations
Automate data collection with Gmail scanner and other integrations.