B’Tawfiq

How Cplus Soft’s AI Platform Revolutionized Career Development at B’Tawfiq

Industry

EdTech

Region

US

Duration

4–6 Months

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Overview

Challenges Faced by B’Tawfiq

Solution Provided by Cplus Soft

Key Features Implemented

AI Talent Matching Engine
Automated alignment of user skills with relevant jobs.
Skill Gap Analysis & Coursera Recommendations
Personalized learning and upskilling pathways.
MECE CV Scoring Framework
Objective candidate evaluation across education, skills, and experience.
In-Platform CV Generation
Professional CV creation directly within the app.
Recruiter Portal
Dashboard for filtering, assessing, and shortlisting candidates.
Security & Compliance
Encryption and strict data handling for financial standards.

Data Collection Methods for B’Tawfiq

Surveys

Gathered quantitative data on user satisfaction, skill gaps, and career goals

Interviews

Conducted one-on-one sessions to gain qualitative insights into user experiences and challenges.

Focus Groups

Facilitated group discussions to obtain diverse perspectives and feedback on platform features.

Observations

Monitored user interactions with the platform to identify usability issues and areas for improvement.

indexing-pages

Document Reviews

Analyzed existing recruitment materials and CVs to inform the development of the MECE scoring framework.

Data Analytics

Utilized analytics tools to track user behavior, engagement metrics, and platform performance.

Feedback Forms

Collected ongoing user feedback to guide iterative enhancements and feature updates.

case-study

Case Studies

Examined similar platforms to identify best practices and potential pitfalls in AI-driven career development.

Setting Up Reporting Frameworks for B’Tawfiq

Define Goals
Established clear objectives to measure success, such as increased job placements and reduced time-to-hire.
Select Metrics
Identified key performance indicators (KPIs), including user engagement, CV completion rates, and recruiter satisfaction.
Determine Frequency
Set up weekly and monthly reporting schedules to assess platform performance and user outcomes.
Assign Responsibilities
Designated team members to manage data collection, analysis, and reporting tasks.
Choose Tools
Implemented tools like Google Analytics and Mixpanel for data analysis and visualization.
Review & Adjust
Developed structured workflows for data collection, analysis, and reporting to ensure consistency and accuracy.
Implement Process
Regularly reviewed reports to identify trends, address issues, and make data-driven adjustments to the platform.

Impacts after Implementation

92% accuracy in ingredient recognition across varied images.

2.5x increase in user engagement compared to traditional recipe apps.

68% of users reported reducing food waste by using the platform.

attract-customers

80% retention rate after the first recipe search.

customer-experience

95% customer satisfaction, citing ease of use and relevant suggestions.

2.3x traffic growth in the Turkish market through SEO-optimised recipe content.