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Insurtech

From zero to one: how QAble built a QA practice for a real-time risk analytics platform

Standing up manual and automated QA from scratch for EigenRisk's EigenPrism platform, then scaling to 900+ automated test cases without slowing the release cadence.

Client

EigenRisk

Headquarters

Ann Arbor, Michigan, USA

Engagement

Ongoing, 1+ year

Platforms

Web, cross-browser

Technologies and tools

JiraJira
QaseQase
Slack
ConfluenceConfluence
Key metrics

Results by the numbers

900+

Automated test cases

0→1

QA practice built from scratch

1+yr

Engagement duration

Faster

Release cycles

Browser and OS environments

Daily

Agile QA governance

About the project

Here's a bit about EigenRisk

Industry

Insurtech

Platform

EigenPrism

Data providers

30+ connected

Reach

Global

EigenRisk is an independent insurtech firm behind EigenPrism, a real-time catastrophe risk analytics platform that brings data, geo-visualisation, modelling and analytics into one environment for reinsurers, insurers, brokers, MGAs and risk managers worldwide. The platform connects to more than 30 data and model providers, enabling high-speed event footprint analysis, location-based risk assessment and real-time catastrophe alerts at scale.

Risk decisions on EigenPrism are time-critical and the underlying data has to be right every time. That combination, complex analytical workflows, multi-source data integrations and cross-browser consistency, called for a QA practice built to the same standard, running alongside an evolving product roadmap and a release cadence that kept accelerating.

Impact

Before and after QAble

Before QAble

With QAble

No structured QA process in place

Full QA practice built from the ground up

No test case library or requirement traceability

Comprehensive test case library maintained in Qase

No regression testing coverage

End-to-end requirement traceability in place

No automation, all validation done ad hoc

900+ automated test cases built and maintained

No cross-browser or cross-OS testing

Cross-browser coverage across Chrome, Firefox and Safari

No QA governance or release readiness process

Daily QA syncs and sprint-aligned release cycles

Releases delayed by defects found late in the cycle

Faster releases through structured regression suites

No visibility into defect trends or product quality

Daily and weekly reports with documented summaries

Automation and manual testing efforts were disconnected

Automation and manual coverage working in tandem

No consistent cadence for meeting sprint deadlines

Consistent delivery against sprint deadlines
Our approach

Our engagement

QAble joined EigenRisk as its dedicated QA partner at a point when the platform had no structured testing process in place. Our team embedded directly into the product development lifecycle, starting with requirement analysis, building a test case library from scratch, and establishing end-to-end traceability across every user story and acceptance criterion tracked in Jira.

A core milestone of the engagement was scaling test automation significantly, building and maintaining over 900 automated test cases that ran as part of the sprint cycle. This let the team meet release deadlines consistently while expanding coverage well beyond what manual testing alone could reach. Regression cycles that had previously been a bottleneck were replaced with structured, automated suites that kept pace with the product's evolving roadmap.

Cross-browser validation across Chrome, Firefox and Safari on both Windows and macOS kept EigenPrism's analytics-heavy interface behaving consistently for every user segment. Confluence served as the central knowledge base for product understanding, housing feature documentation, requirement context and process notes that kept the QA team aligned with the product's evolving scope. Throughout the engagement, QAble maintained daily governance, participating in standups, triage sessions and sprint reviews, with daily and weekly QA status reports delivered to stakeholders by email, giving clear and continuous visibility into testing progress, defect trends and release readiness.

Engagement highlights

QA practice built from zero within year one
900+ automated test cases maintained
Cross-browser coverage: Chrome, Firefox, Safari
Windows and macOS environments covered
Daily standups, triage and sprint reviews
Weekly QA reports delivered by email
Engagement snapshot

A QA practice built from zero, then scaled to carry release velocity: 900+ automated test cases, daily governance, and cross-browser coverage across Chrome, Firefox and Safari on Windows and macOS.

4 QA engineers
900+ automated cases
Daily governance
Weekly stakeholder reporting

Engagement type

Ongoing partnership

Duration

1+ year

Automation scale

900+ test cases

Team size

Up to 4 QA engineers

Services provided

What QAble delivered

Services

01

Manual and functional testing

Our team designed and executed detailed test cases covering functional, integration, smoke, sanity and regression scenarios across every sprint. Requirements and feature context lived in Confluence, while test cases, built with full execution steps, expected results, prerequisites and test data, were managed in Qase with complete traceability back to Jira. Positive, negative, boundary and edge-case scenarios were systematically covered to validate both new features and any existing functionality they touched across EigenRisk's risk analytics workflows.

Functional, smoke and sanity coverage
Full traceability to Jira
Positive, negative and edge cases
Confluence-backed requirements

Build QA into your platform before your next release, not after

Talk to us about standing up a QA practice for your platform, from test strategy and automation to daily governance and reporting.

QA built for platforms where accuracy can't wait

Real-time risk analytics demands QA that moves as fast as the data. QAble brings the structure, automation and governance your release cycle needs.

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