BA Assessment Platform
A structured evaluation system for business analysts — from AI-assisted CV screening to competency assessment.
3
Evaluation stages
60+
Question bank
12
Competency blocks
4
User roles
The problem
Inconsistent hiring decisions
Without a shared competency framework, interviewers apply different criteria and benchmarks, making hiring decisions difficult to compare or reproduce.
Data scattered everywhere
CVs, notes and scores live in spreadsheets, email and messaging apps. There is no consistent way to compare candidates or build recruitment analytics over time.
No consistent level framework
Junior, Middle and Senior levels were often assigned through individual judgement, without normalised scores or a reproducible methodology.
How it works
Stage 1 — AI-assisted CV screening
The system analyses each CV against five criteria: experience, tools and technology, projects, artefacts and stakeholder engagement. It returns a score from 0 to 100 and an indicative level (Junior, Middle or Senior) in 30–60 seconds.
Stage 2 — Technical interview
Twelve thematic areas and more than 60 case-based and situational questions, with a 0–2 scoring scale, level-specific guidance for interviewers, a timer and free-text notes.
Requirements Gathering · Process Modelling · User Stories & Use Cases · Prototyping · Data · Integrations & API · Change Management · Testing · Documentation · Agile & Scrum · Stakeholder Management · Analytical Thinking
Stage 3 — Competency assessment (STAR)
Five behavioural competencies assessed through the STAR framework: analytical thinking, communication, requirements management, problem solving and teamwork. Level-specific reference answers and normalised scoring support comparison across candidates.
Key features
Candidate Kanban pipeline
Drag-and-drop progression from screening to interview, assessment and completion, with level filters, paused candidates and pipeline analytics.
Competency profile
A radar chart presents the candidate’s profile across five dimensions, with configurable module weightings and an overall level recommendation.
Four-role access model
Administrator, Lead BA, interviewer and candidate permissions are enforced through row-level security at database level.
Candidate portal
Progress tracking, CV upload and structured feedback, with scores by assessment area and development recommendations.
Public self-assessment (Skillbox)
A standalone questionnaire enables business analysts to assess their level without creating an account, extending the product beyond internal recruitment.
Isolated public demo
A separate environment with fictional candidates and synthetic data enables prospective employers and partners to explore the product without access to live candidate information.
Business impact
−70%
recruiter time on screening
−40%
hiring errors
4 roles
with RLS data isolation
Single methodology
reproducible across all interviewers
My role
Designed and independently built the product from concept to launch. Defined the requirements, user journeys and access model, then implemented the front end in Lovable, the back end and row-level security in Supabase, and AI-assisted CV screening with Gemini. No development team was involved.
See the platform in action
Open BA Assessment Platform