Quokka Labs engineered configurable talent assessment workflows that integrate job-based evaluations, digital interviews, automated proctoring, and AI-driven scoring to strengthen candidate evaluation and support data-informed hiring decisions.

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Project Overview

Developing Configurable Assessment Workflows for SHL

Quokka Labs engineered configurable assessment solutions for SHL Jobs Assessments and Smart Interview Live, integrating job-based evaluations, automated proctoring, AI-driven scoring, and structured reporting. These solutions streamline assessment workflows and help talent teams evaluate candidates against role requirements, interpret assessment results, and make informed hiring decisions.

Streamlining Assessment Workflows Through Integrated Engineering

Quokka Labs addressed assessment feature dependencies, irrelevant candidate prompts, conflicting configuration rules, and reporting gaps through targeted workflow and policy enhancements.

Problem & Solutions

Problem

Assessment Feature Dependencies

Mandatory proctoring requirements could prevent candidates from completing assessments when optional features were declined.

Solution

Independent Feature Controls

Separates proctoring and AI scoring rules, preserving eligible assessment results when candidates decline optional features.

Problem

Irrelevant Assessment Prompts

Generic disclosures interrupted candidate journeys even when assessments did not use the corresponding AI features.

Solution

Context-Aware Module Detection

Detects active assessment modules and displays relevant information only when the corresponding features apply.

Problem

Conflicting Policy Rules

Company-wide defaults could conflict with project-specific requirements, creating inconsistencies across assessment configurations.

Solution

Hierarchical Policy Evaluation

Reconciles company-wide defaults with project-specific overrides, maintaining consistent assessment rules across
different configurations.

Problem

Reporting and Audit Gaps

Incomplete assessment records limited traceability, complicating reviews and delaying assessment processing.

Solution

Audit Logging and Performance

Maintains timestamped audit records to strengthen traceability, support assessment reviews, and help meet defined processing targets.

Our Development Approach

How Quokka Labs Developed SHL’s Talent Assessment Solutions

Assessment
Discovery

Our team reviewed candidate journeys, job assessments, interviews, proctoring requirements, AI scoring, and reporting needs to define the scope and identify workflow dependencies.

Rules
Configuration

We established a rules engine that combined company-wide defaults with project-specific requirements, enabling consistent policy evaluation across diverse assessment scenarios.

Feature
Detection

Our team introduced checks to identify active assessment components and display relevant information only when required, reducing unnecessary prompts during candidate assessments.

Candidate
Flow Design

We structured candidate journeys around mandatory and optional features, ensuring assessment progression reflected individual choices and applicable requirements without blocking eligible evaluations.

Reporting and
Compatibility

Our team connected candidate choices with reporting outcomes, preserved eligible results, and maintained existing project behavior across established assessment workflows.

Validation and
Performance

We tested assessment scenarios, candidate progression, reporting accuracy, audio interaction, session continuity, and audit records against the specified processing target.

The Impact

Assessment Workflow Outcomes And Performance Targets

90%

Fewer Assessment Drop-Offs

80%

Fewer Unnecessary Prompts

<2s

Assessment Loading Target

100%

Audit Traceability Objective

Core Capabilities

Engineering Capabilities Delivered Across SHL's Assessment Workflows

Quokka Labs developed and integrated job-based assessment workflows, digital interview functionality, proctoring controls, AI-driven scoring, and session-handling capabilities across SHL's assessment experiences.

Engineered structured evaluation workflows to assess candidates against role-specific requirements and support informed hiring decisions.

Developed digital interview functionality to extend candidate evaluation across different stages of the recruitment process.

Integrated remote monitoring to detect potential assessment irregularities and help maintain test integrity during candidate evaluations.

Integrated AI-driven candidate scoring into configured assessments to standardize evaluations and reduce reliance on manual review.

Engineered interval-based monitoring that captures potential assessment irregularities and provides supporting evidence for recruiters to review candidate behavior and verify test integrity.

Engineered session recovery mechanisms to preserve candidate progress and enable assessment resumption after browser interruptions.

Built audio functionality into digital assessment workflows to support candidate participation through spoken responses.

Developed responsive assessment interfaces to enable consistent access across desktop, tablet, and mobile devices.

Looking to Improve Complex Business Workflows?

Quokka Labs helps businesses enhance existing platforms through workflow automation, configurable systems, and targeted integrations. Discuss the technical and operational challenges your team is working to address.

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