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QASolve.ai Target Audience

User Segments

Age: 42

Gender: Female

Occupation: Chief Technology Officer (CTO)

Education: Master's Degree, Computer Science

Age: 48

Gender: Male

Occupation: Head of Engineering

Education: Bachelor's Degree, Electrical Engineering

Age: 39

Gender: Female

Occupation: VP of Product Development

Education: Master's Degree, Business Administration

Aisha Rahman

Aisha Rahman

Age: 42
Gender: Female
Occupation: Chief Technology Officer (CTO)
Education: Master's Degree, Computer Science
Industry: Software Development
Channels: LinkedInYouTubeX

Goals

  • Accelerate software delivery cycles
  • Ensure high quality and reliability of software products
  • Optimize operational costs associated with QA.

Pain Points

  • Slow and inefficient QA processes
  • High costs and resource drain from manual testing
  • Difficulty in achieving comprehensive test coverage.

QASolve.ai Geographic Distribution

The primary markets are the US and India, with significant traction also in the UK, Canada, and Australia, reflecting global software development hubs.

Top Countries

United States flag

United States

45%
India flag

India

30%
United Kingdom flag

United Kingdom

8%
Canada flag

Canada

5%
Australia flag

Australia

3%

Age Distribution

Key Insights

Primary age group concentration shows strong presence in:

31-35

Most active age range

Target Audience Socio-economic Profile

Most target users are in 3-4 person households, primarily high-income earners, reflecting their executive and senior engineering roles.

Employment Status

Income Distribution

Education Level

QASolve.ai Behavior Analysis

Behavior Profile

Technology Trends
Business Strategy
Innovation
AI/Machine Learning
Software Development
Accelerated QA Cycles
CI/CD Integration
Test Automation
Problem-Solving
Decision Making
Efficiency Seeking
Information Seeking
Online Research
Professional Networking

Device Breakdown

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