FARI DESIGN
Research Insights
To understand user behavior, I synthesized patterns from secondary research and AI-assisted analysis.
The findings are indicative and were used to guide product decisions, rather than as precise quantitative data.
Insights are based on synthesized patterns and used to guide product decisions.
Users don't know why they get rejected
Lack of feedback makes it difficult to improve applications.
Customization is expected but inefficient
Tailoring CVs takes time and often feels unclear.
Users want guidance, not automation
People prefer support instead of full automation.
Time investment is high with low return
Users spend hours applying without clear outcomes.
User Personas
Anna Müller
Marketing Manager
Munich, Germany
•
32 years old
Goals
•
Get more interview invitations
•
Apply efficiently
•
Improve CV quality
Frustrations
•
Doesn't know what recruiters expect
•
Spends too much time customizing CVs
•
Receives little feedback
Behaviors
•
Reuses CV with small edits
•
Applies to multiple jobs in batches
Needs
•
Clear feedback
•
Guidance, not automation
•
Faster workflow
"I just want to know what I'm missing instead of guessing every time."
Daniel Schneider
Former Sales Associate → UX Design
Berlin, Germany
•
28 years old
Goals
•
Successfully switch careers
•
Present transferable skills clearly
•
Stand out despite non-traditional background
Frustrations
•
"My experience doesn't match job descriptions directly."
•
"I don't know how to reframe my past roles."
•
"I get rejected without understanding why."
Behaviors
•
Frequently rewrites CV
•
Uses online templates and advice
•
Experiments with wording but feels unsure
Needs
•
Help translating experience into relevant skills
•
Suggestions for wording and positioning
•
Confidence that the CV fits the role
"I feel like I have the skills, but I don't know how to show it."
Behavioral Patterns
Frequency based on qualitative scale (1 = Rarely, 5 = Very Common)
User CV Behavior Patterns
0
1
2
3
4
5
Reuse single CV
Fully customized
CV
Time Spent per Job Application
0
1
2
3
4
5
Less than 30
minutes
1–2 hours
More than 2 hours
Preferred Level of Assistance
0
1
2
3
4
5
Guided AI
assistance
Full automation
No support
Translating Insights into Product Direction
1
Reduce friction in CV customization
Simplify editing instead of rebuilding CVs
2
Provide clear, actionable feedback
Match score and improvement suggestions
3
Keep users in control
Allow accepting/rejecting AI suggestions
4
Save time without removing clarity
Guided step-by-step workflow
Opportunity
Current tools either analyze CVs or generate them. This solution focuses on a guided approach—helping users understand and improve their applications while staying in control.
FARI DESIGN
Research Insights
To understand user behavior, I synthesized patterns from secondary research and AI-assisted analysis.
The findings are indicative and were used to guide product decisions, rather than as precise quantitative data.
Insights are based on synthesized patterns and used to guide product decisions.
Users don't know why they get rejected
Lack of feedback makes it difficult to improve applications.
Customization is expected but inefficient
Tailoring CVs takes time and often feels unclear.
Users want guidance, not automation
People prefer support instead of full automation.
Time investment is high with low return
Users spend hours applying without clear outcomes.
User Personas
Anna Müller
Marketing Manager
Munich, Germany
•
32 years old
Goals
•
Get more interview invitations
•
Apply efficiently
•
Improve CV quality
Frustrations
•
Doesn't know what recruiters expect
•
Spends too much time customizing CVs
•
Receives little feedback
Behaviors
•
Reuses CV with small edits
•
Applies to multiple jobs in batches
Needs
•
Clear feedback
•
Guidance, not automation
•
Faster workflow
"I just want to know what I'm missing instead of guessing every time."
Daniel Schneider
Former Sales Associate → UX Design
Berlin, Germany
•
28 years old
Goals
•
Successfully switch careers
•
Present transferable skills clearly
•
Stand out despite non-traditional background
Frustrations
•
"My experience doesn't match job descriptions directly."
•
"I don't know how to reframe my past roles."
•
"I get rejected without understanding why."
Behaviors
•
Frequently rewrites CV
•
Uses online templates and advice
•
Experiments with wording but feels unsure
Needs
•
Help translating experience into relevant skills
•
Suggestions for wording and positioning
•
Confidence that the CV fits the role
"I feel like I have the skills, but I don't know how to show it."
Behavioral Patterns
Frequency based on qualitative scale (1 = Rarely, 5 = Very Common)
User CV Behavior Patterns
0
1
2
3
4
5
Reuse single CV
Fully customized
CV
Time Spent per Job Application
0
1
2
3
4
5
Less than 30
minutes
1–2 hours
More than 2 hours
Preferred Level of Assistance
0
1
2
3
4
5
Guided AI
assistance
Full automation
No support
Translating Insights into Product Direction
1
Reduce friction in CV customization
Simplify editing instead of rebuilding CVs
2
Provide clear, actionable feedback
Match score and improvement suggestions
3
Keep users in control
Allow accepting/rejecting AI suggestions
4
Save time without removing clarity
Guided step-by-step workflow
Opportunity
Current tools either analyze CVs or generate them. This solution focuses on a guided approach—helping users understand and improve their applications while staying in control.