Flowmingo CV evaluation example with sample candidate data.
The company
Group QA
A Bangladesh business group built across generations
Business origins
1965
Company-reported workforce
Around 6,000 people
Group activities
Apparel, agriculture, engineering equipment, and automotive products
Group QA traces its roots to a small agriculture-related business started in 1965.
It has grown into a diversified Bangladesh group with activities in apparel, crop protection, agricultural solutions, engineering equipment, and automotive products.
Its company profile describes around 6,000 employees and a commitment to lasting value through dependable products, responsible business practices, and the development of its people.
That breadth makes corporate recruitment part of a larger mission: supporting businesses that serve customers, industries, and communities.
At Group QA in Dhaka, Head of HR, Corporate Shahidul Islam worked with multiple CV uploads and interview invitations sent to several applicants. Initial selection involved reviewing applications, evaluating interviews, and keeping track of candidate feedback.
CV uploads
Interview invitations
Candidate feedback
Initial selection
Keep the individual in view
The practical requirement was to screen efficiently while still understanding each person’s strengths and areas needing attention. As candidates progressed, that information needed to be easy to find and review.
Candidate feedback
Ready to review
StrengthsAreas needing attention
Hiring context & sources
Recruiting function
Corporate HR in Dhaka, Bangladesh
Shahidul Islam’s full testimonial attribution: Head of HR, Corporate, Group QA, Dhaka.
Selection workload
Multiple CV uploads and interview invitations to several applicants
The customer describes this workflow directly; no applicant total is supplied.
Information recruiters needed
Candidate strengths, weaknesses, and areas for improvement
Shahidul’s request for clearer per-candidate summaries in the same testimonial.
Tools used in initial selection
AI CV analysis, AI interviews, and candidate feedback
Full testimonial, 30 June 2026, credits all 3.
How Flowmingo helped
Bring CV analysis, AI interviews, and feedback together
Follow the workflow, from the first assessment to the recruiter’s decision.
Workflow in focus · 01
Candidate CVs
Analyse uploaded CVs
AI analysis
Uploaded CVs
AI CV analysis
Initial selection
Recruiter review
Illustrated workflow · CV analysis for initial screening
Shahidul reports more efficient initial screening, considerable time saved, and a very positive overall experience. Group QA brought CV analysis, AI interviews, and feedback into its selection work while continuing to ask how that information could serve recruiters better.
CV analysis
AI interviews
Candidate feedback
Initial selection
The reporting improvements requested
His detailed feedback reflects that attention to the working process: clearer summaries could help the team see each candidate’s strengths and areas needing attention, while email notifications could reduce repeated dashboard checks. Flowmingo was a useful addition, and Group QA identified concrete ways to make the experience more effective.
Customer requestsNot confirmed as delivered
Clearer summariesStrengths and areas to improve
Report notificationsWhen interview reports are available
Results are reported by the customer.
Full testimonial
In their own words.
Original testimonial · June 2026
Shahidul IslamHead of HR, CorporateGroup QA
Thank you for reaching out and for asking for honest feedback.
Overall, our experience with Flowmingo has been very positive. The platform has been a valuable addition to our recruitment process. The AI CV analysis, AI interview, and candidate feedback help us screen applicants more efficiently and save considerable time during the initial selection process.
One suggestion that would significantly improve the user experience is regarding candidate management and feedback. When we upload multiple CVs and send interview invitations to several applicants, it becomes difficult to quickly identify which candidate requires improvement and what specific areas need attention. It would be helpful if the platform could provide a clearer, more structured summary for each candidate, highlighting key strengths, weaknesses, and recommended improvements in an easy-to-review format.
Another feature that would be very useful is automatic email notifications. It would be great if the interview results and AI assessment reports could be sent directly to the recruiter's registered email address at the same time they become available in the Flowmingo dashboard. This would make it easier to track candidate progress without needing to log into the platform repeatedly.
Overall, we are satisfied with the service and appreciate the innovation your team is bringing to recruitment. We look forward to seeing Flowmingo continue to evolve with these enhancements.
Thank you, and best wishes to your team.
Kind regards,
Shahidul Islam
Head of HR, Corporate
Group QA, Dhaka, Bangladesh
Give your team more time for the right candidates.