Test Analytics

Still using spreadsheets for reporting?

Transform the way you manage your QA business

Delivering the right information to the right person at the right time is important in order to manage risk and it is a challenge in the domain of application delivery and QA. To address this challenge, Validata Sense.ai delivers an end to end Quality Performance Management solution for your projects and application delivery initiatives.

Unlike other solutions, Validata Sense.ai can adapt to changing requirements in hours rather than weeks and months improving insights and getting a more consolidated view of your quality data. It has been designed to address complex DevOps project needs by using actionable and understandable KPIs, which help key stakeholders to gain understanding and make better decisions faster that will improve software quality and reduce costly operational incidents by preventing defect leakage.

From error prone spreadsheets to better decisions

Visualise your spreadsheet data and share with anyone in real time

Predict delivery and get to market faster

Organizations can advance their use of analytics and improve the way they build, test, release and operate their software products. Companies can gain the ability to make better decisions that radically improve the quality of their software releases, increase the performance and productivity of their teams and reduce their operational costs.

Reduce Total Cost of Ownership

ValidataSense.ai reduces the Total Cost Ownership, increases visibility and customer satisfaction and speeds time to value.

Optimise QA & Dev/ops for superior performance

It accelerates QA enablement, aligns QA and DevOps teams and intensifies the focus on testing rather manual reports, transforming the way you manage your QA business.

Predictive Intelligence at your fingertips

Validata Sense.ai leverages predictive analytics to drive smarter decisions, optimize processes, and enhance quality assessments. Trained on historical data, machine learning, and AI, it identifies key trends and patterns to forecast future outcomes. By providing actionable insights, it empowers application delivery teams to proactively address issues, measure results effectively, and refine release policies—ultimately driving better business outcomes.

Game-changing Features

Project Intelligence

It enables instant assess to your release health and status in a centralised view, to keep track of costs, progress, quality, improving performance and productivity of your teams.

Drill down on individual projects for summarized reporting of pending/completed/overdue activities.
Test design and test execution status and trends
Requirements prioritisation and traceability
Compare planned vs actual release dates.
Sprints Comparison

Based on daily historical data that are recorded on project or subproject level, it can also predict the potential project trends for a week, a month or even next semester.

Risk Coverage Optimiser

Leveraging AI and machine learning, the Risk Coverage Optimizer enables teams to minimize the number of test cases required for optimal coverage while incorporating regression testing to ensure system stability after changes.

By monitoring and analysing past project data and historical trends, it predicts the performance impact and recommends which test cases should be run for maximum coverage, given constraints in time, resources and defects found. It prioritises user journeys and identifies the most important test cases to be executed first, enabling you to detect bugs for the critical business areas much earlier. This way, you can take advantage of a shift-left, risk-based testing approach to mitigate the risks and test changes more efficiently

Agile Planning and Forecasting

By analysing past performance and tracking ongoing projects, this feature uses real-time AI to optimise task and resource assignments, improve decision-making, and create efficiencies. It offers automated task scheduling, priority scoring, and a decision support hub for evaluating different scenarios, generating the ‘next best DevTest plan’ for project success.

You can increase development speed and deliver greater value by balancing your Dev and QA backlog, and gaining the visibility you need to deliver your projects faster, by visualizing, planning, tracking, and predicting in real-time.

What’s in it for you?

CIO

Complete visibility into quality, risks, and efficiency for informed executive decision-making.
Analytics-driven defect management reduces risk and enhances system reliability.
Value stream mapping aligns IT investments with business objectives, maximizing ROI.
Reduce Total Cost of Ownership and improve your customers’ experience

Operations Manager

Increase efficiencies while reducing costs
Reduce service disruption from unexpected failures
Real-time defect tracking ensures operational issues are identified early, minimizing disruptions.
Value stream insights highlight process inefficiencies, helping streamline operations.
Risk assessment analytics enable proactive mitigation of operational risks.

Project / Test Manager

Get a snapshot of performance against goals
Highlight the relevant high-risk test cases, in order to create high quality test cases automatically and streamline this challenging step in the software delivery lifecycle.
Defect tracking & analytics provide a clear view of defect trends, resolution times, and critical areas.
On-demand test tracking ensures testing progress is transparent, reducing bottlenecks.
Value stream analytics help optimize testing workflows and align testing with business priorities

Quality Assurance Director

Holistic defect and test data enable better decision-making for quality improvements.
Risk assessment insights help in identifying high-risk areas early, ensuring compliance.
End-to-end traceability ensures testing effectiveness and regulatory alignment.
Revolutionize your QA and Testing practice and enhance the cost efficiency of your QA efforts

Development Manager

Defect insights pinpoint recurring issues, enabling proactive improvements in development.
Test tracking data ensure teams focus on areas with the highest business impact.
Value stream analytics optimize development cycles and resource allocation.
Track your development tasks efficiently.