Viewing and Managing Your CV Analysis History: Complete Guide

Every analysis you run is saved in your RankMyCv account, creating a powerful history of your job search optimization efforts. This guide shows you how to access, understand, and use your analysis history to improve your job search strategy.

What Is Analysis History?

Your analysis history is a complete record of every CV analysis you've ever performed. It includes:

• CV version analyzed - Which version of your resume you used
• Job description - The position you analyzed against
• Date analyzed - When the analysis was performed
• Compatibility score - Your overall match percentage
• Keywords matched/missing - Specific gaps identified
• Recommendations - What the analysis suggested
• Score breakdown - AI score, Structure score, etc.

This history is valuable for tracking your progress and learning patterns.

Accessing Your Analysis History

Finding Your History

1. Log into your account

   • Visit RankMyCv.com
   • Click your profile icon
   • Select "My Account" or "Dashboard"

2. Navigate to Analysis History

   • Look for "Analysis History" or "My Analyses"
   • Usually in the sidebar or account menu
   • May also be available on your dashboard

3. View Your Analyses

   • Displays all past analyses
   • Newest first (or sortable)
   • Shows basic info about each

What You'll See for Each Analysis

For every analysis in your history, you'll see:

• Job Title: Position you analyzed against
• Date: When you performed the analysis
• Score: Your overall compatibility percentage
• Company: (if available from job posting)
• Status: Applied, Declined, Interview, etc. (if you track this)

Using Analysis History Features

Viewing Detailed Results

Click on any analysis to see complete details:

Score Information:

• Overall compatibility score
• AI score breakdown
• Structure score breakdown
• Individual metric scores

Keywords:

• Complete list of matched keywords
• Complete list of missing keywords
• Categorized as required/preferred
• Highlighted in context

Recommendations:

• Specific suggestions for improvement
• Priority ranking (high to low impact)
• Examples of how to implement

Comparison:

• How this job compares to your typical targets
• Benchmark against your other analyses
• Patterns in what employers want

Filtering and Searching

Depending on your RankMyCv plan, you may be able to filter by:

• Date range: Analyses from specific time period
• Score range: Only show 80%+ scores, etc.
• Company: Analyses for specific employers
• Job title: Analyses for specific roles
• Status: Applied, not applied, got interview, etc.

Using History to Improve Your Job Search

Strategy 1: Track Your Progress

Compare analyses over time to see improvement:

Example:

• Month 1: Analyses averaging 62% score
• Month 2: After CV improvements, averaging 71%
• Month 3: After more refinement, averaging 78%

This shows your strategy is working.

Strategy 2: Identify Patterns

Look across multiple analyses to find patterns:

Question: What skills appear in most jobs? Review your last 10 analyses. If "project management" appears in 8 of them, it's critical to emphasize in your CV.

Question: What's your typical score? If most analyses are 70-75%, your CV is generally strong for your target roles.

Question: Where do you consistently lose points? If AI score is consistently low but Structure score is high, you need to reframe your experience, not redesign your CV.

Question: Which job types score highest? If tech roles score 80%+ but finance roles score 55%, your background is better suited to tech.

Strategy 3: A/B Test Your CVs

If you have multiple CV versions, analyze each against the same job:

Example:

• Version A (technical emphasis): 75% score
• Version B (management emphasis): 82% score
• Insight: Version B is better for your target role

Use this data to decide which version to submit.

Strategy 4: Track Interview Success

If you track which analyses led to interviews:

Correlation Analysis:

• Did analyses with 80%+ scores lead to more interviews?
• Did certain keywords correlate with interviews?
• Did higher Structure scores matter?

This data guides future decisions.

Important Privacy & Security Notes

Your History Is Private

• Only you can see your analysis history
• Your data is encrypted
• RankMyCv doesn't share your analyses
• Job descriptions and CVs are stored securely

Deleting Analyses

You can delete individual analyses:

1. Find the analysis in your history
2. Click the delete icon or "Remove"
3. Confirm deletion
4. The analysis is permanently removed

Note: Deleted analyses cannot be recovered.

Exporting Your Data

Depending on your plan, you may be able to export:

• Analysis summaries as PDF
• CSV of analyses with scores
• Full analysis details for record-keeping

Organizing Your History

Best Practices for Tracking

1. Use Notes or Tags If available, add notes to each analysis:

• "Version A - submitted"
• "Tech role - strong match"
• "Follow up if rejected"

2. Track Applications Mark which analyses resulted in applications:

• Applied: Yes/No
• Interview: Yes/No
• Offer: Yes/No
• Status: Pending, Rejected, etc.

3. Record Outcomes If you track outcomes, note:

• Did you get an interview?
• Did you get rejected (ATS or human)?
• Did you get an offer?

4. Date and Source Remember where each job came from:

• LinkedIn
• Company website
• Job board
• Recruiter referral

Organization Tips

By Role Type: Group analyses by job title or category

• Software Engineer analyses
• Product Manager analyses
• Data Scientist analyses

By Company: If targeting specific companies:

• Google: Multiple analyses over time
• Microsoft: Track how your score changes
• Startups: Compare against large tech

By Score Range:

• High performers (80%+): What's common?
• Medium performers (70-79%): What to improve?
• Low performers (<70%): Should you apply?

By Date:

• Recent analyses: Current market trends
• Historical: How your preferences changed
• Seasonal: Job market variations

Advanced: Competitive Analysis

Use your analysis history for broader insights:

Finding Your Target Range

Analyze 10-20 similar jobs in your target field:

1. Record scores: Save all scores
2. Calculate average: What's your typical match?
3. Calculate range: What's realistic (20th to 80th percentile)?
4. Set goal: Aim for above-average (75%+)

Example Results:

• Average: 72%
• Range: 58% to 88%
• Goal: 75%+
• Current: 70% (need to improve ~5 points)

Identifying Market Trends

Track how scoring evolves:

Q1 2025:

• Average score: 68%
• Most common missing skill: AI/ML knowledge

Q2 2025:

• Average score: 71%
• Most common missing skill: Still AI/ML, but now requires more experience

Insight: The market is increasingly valuing AI skills. Investing in AI learning would be high-impact.

Benchmarking Against Standards

Compare your scores to industry benchmarks:

• Software Engineer: Typically 70-75% average
• Product Manager: Typically 65-70% average
• Data Scientist: Typically 72-78% average

If you're below average, focus on CV improvement. If above average, you're competitive.

Sharing Analysis Insights (Without Sharing Details)

You might want to discuss analyses with a career coach or mentor without sharing sensitive details:

What to share:

• Score ranges (not specific jobs)
• Common missing skills (anonymized)
• Patterns you've identified
• Overall strategy questions

What NOT to share:

• Specific companies you've analyzed
• Actual CVs
• Job descriptions from private postings
• Personal information from analyses

Using History for Different Scenarios

"I'm Not Getting Interviews"

Review your analysis history:

1. Check scores: Are you applying to jobs where you score 75%+?

   • If no: You're applying to wrong roles
   • If yes: Problem is likely elsewhere (cover letter, LinkedIn, etc.)

2. Check Structure: Is your Structure score consistently below 70%?

   • Yes: Your format is likely causing ATS rejection
   • No: Format is fine; focus on content/positioning

3. Check AI: Is your AI score consistently below 65%?

   • Yes: Your background doesn't align with target roles
   • No: You're qualified; issue is elsewhere

"My Score Keep Dropping"

If scores are decreasing over time:

1. Check which analyses are dropping - Are they for different roles?
2. Identify what changed - Did you apply for different job types?
3. Adjust strategy - Focus on roles where you historically score higher

"I Want to Switch Roles"

Use history to understand a new field:

1. Analyze 5 jobs in the new field
2. Compare scores to your original field
3. Identify skill gaps
4. Decide if worth transitioning

Example:

• Current field (Engineer): Average 78% score
• Target field (Product Manager): Average 52% score
• Gap analysis: Missing 5 PM-specific skills
• Decision: May require career transition path

Privacy & Data Management

How Long is History Kept?

• Subscription users: Typically 12 months of detailed history
• Package users: May vary depending on plan
• Free users: Limited history retention
• Data archival: Check your plan details

Downloading Your Data

To export your analysis history:

1. Go to "My Account" or "Settings"
2. Find "Export Data" or "Download History"
3. Select format (PDF, CSV, JSON)
4. Download and save

This creates a backup if needed.

Account Deletion

If you delete your account:

• All analyses are permanently deleted
• Cannot be recovered
• Data is removed from RankMyCv servers

Note: Download your history first if you want to keep records.

Leveraging History for Career Growth

Your analysis history becomes a powerful tool for career development:

Quarter 1: Build baseline understanding

• Run 5-10 analyses
• Identify patterns
• Set improvement goals

Quarter 2: Implement changes

• Improve your CV based on insights
• Re-analyze to track improvement
• Adjust your job targeting

Quarter 3: Optimize

• Focus on high-scoring analyses
• Target similar roles where you excel
• Apply with confidence

Quarter 4: Reflect and plan

• Review full year of analyses
• Celebrate improvements
• Plan next year strategy

Final Thoughts

Your analysis history is more than just a record—it's a strategic tool for understanding yourself, your target market, and your career trajectory. Use it wisely.

Ready to start building your analysis history? Analyze your first CV → - Every analysis helps you understand and improve your job search.