Solution and Objectives
Through extensive user research, we realized resume building must transform from a one-time project into an intelligent system centralizing candidate data, and experiences into an easily accessible application automation engine.
We envisioned an AI-powered career acceleration platform that can:
- Guide framing compelling, quantified resume narratives:
The system would assist users in authoring optimized professional profiles and resumes showcasing their assets. Templates and examples focus on quantifying achievements, impact, and competencies tuned to applicant tracking algorithms. - Auto-recommend opportunities perfectly matched to strengths:
Integrating into job boards and career sites, the platform automatically surfaces openings aligned to a candidate's profile - experience, skills, preferences, etc. Advanced matching algorithms also incorporate historical hiring trends increasing relevance. - One-click resume generation tailored for every application:
Further building on the profile, the platform generates tailored 1-page resumes optimized for applicant tracking systems for each targeted application. The machine learning model dynamically constructs focused narratives. - Orchestrate high-quality, high-volume applications end-to-end:
Finally, the system submits applications to nearly any online portal or employer solution while logging status. Robust tracking and automatic follow-ups minimize leakage.
Essentially elevating resume building from a one-time project into an intelligent system targeting opportunities where the probability of landing is maximum.
The singular vision was transforming application funnel efficacy centralizing user profile assets and target opportunities data into an automation engine tailored to career advancement needs.
Technology Planning
We deliberately invested heavily upfront in planning the architecture, user experience, and capability prioritization validating assumptions through research:
Technical Architecture:
Finalized cloud-native modular architecture on Laravel enabling independent scaling of application modules via microservices:
- Backend APIs: PHP
- Database: MongoDB Atlas
- Search indexes managed with rankings
- Queue and notification management
The priority was building for rapid iteration aligned to agile sprints through correct technological components identification upfront.
Experience Design
Adopting design thinking process through generative user studies and rapid prototyping, we detailed user journeys for essential workflows like:
- Guided profile builder question sequences
- Matching jobs filtered discovery
- One-page resume layout variations
- Minimal application submission form enhancements
Focus involved simplification reducing cognitive load while adding automation.
Prioritization Cadence
Features categorization across must-have, good-to-have and delighters supported launch MVP definition within 12 weeks, balancing technical complexity vs impact.
Quarterly planning accounted for new behaviors while maximizing reuse by leveraging existing components.
Fortnightly client council sessions provided direct inclusion into backlogs from the early stages.
The extensive planning phase established strong structural foundations across technology, experience, and delivery optimizing for agile output.
