How Strike’s Automation and Quality Assurance Processes Keep Your Data on Point

At Strike, we take pride in ensuring that the data insights, reports, and growth recommendations you receive are not only accurate but also crafted through a meticulous and rigorous process. Our approach to automation and quality assurance (QA) is built on the principles of efficiency, collaboration, and reliability—because we know that when it comes to business data, there’s no room for error.

Why We’re Qualified to Build These Apps

Strike isn’t just another data tool—we’re a team of experts who understand how businesses use data to drive growth. Our leadership team and engineers have backgrounds in data science, machine learning (ML), product management, and software development, ensuring that every product we design is built from years of experience in the field.

We’ve been involved in data analytics across industries like Healthcare, FinTech, EdTech, eCommerce, TravelTech and more, so we understand the specific challenges you face. Whether it's about extracting actionable insights from messy data or providing clear reports that impress your clients, we’ve been there—and we’ve built Strike to solve those exact problems.

You can learn more about our team here.

Here's a shot of the team in one of our co-design sessions (featuring Chewy, our Chief Treat Officer!).

Co-Designed with Experts for Impact

Automation isn’t just about setting up scripts and letting machines do the work. At Strike, every step of the process is co-designed internally. This process ensures that our automation works efficiently for different types of businesses, whether you’re tracking eCommerce sales data or SaaS customer churn.

Here’s how we do it:

• Cross-Functional Collaboration: Our team of product leaders, data engineers and software developers meet to understand the customer need and pain point. We ideate on the best ways to solve this for customers, ensuring that we consider the best user experience (UX), what's technically feasible and how we can deliver value fast.

• User-Centric Design: We also incorporate feedback from real-world users. We understand that no two businesses are the same, so we strive to make Strike adaptable and flexible based on your unique goals.

• Continuous Improvement: The work doesn’t stop once the automation is built. We’re constantly updating our systems based on new technology trends, machine learning advancements, and real-world use cases.

How Our Apps Work: Behind the Scenes

Strike’s automated business apps simplify and accelerate processes that typically take businesses hours of manual work—such as data collation, report generation, and performance tracking. Here’s a simplified version of how our automation works:

1. Data Integration: Our system collects your data and automates the data extraction, cleaning, and organising.

   
   

2. AI & ML Models: Once the data is ready, we run it through our in-house artificial intelligence (AI) machine learning (ML) models to uncover insights and predict trends. These models are built based on the best industry practices, and are trained on historical data, refined through testing, and continually improved with new datasets.

   
   

3. Insights and Reporting: Using our pre-defined automation workflows, Strike instantly delivers the insights, recommendations, and reports that would otherwise take hours or days of manual analysis. You get real-time updates and visually engaging reports, at the click of a button.

It Says My Report Won't Be Available For Another 24-48 hours… what does this mean?

If you haven't caught on by now, we're sticklers for quality at Strike. If you're seeing this message, it means that we're still testing an app to ensure that it's accurate and ready for instant use in the future.

This 24-48 hour time lapse ensures that we can verify your data was analysed correctly, and the insights produced are accurate and contextual for your business.

If you're not happy with this turn around - that's totally fine! Just contact us at help@strike-app.ai and we can generate a refund for you.

Rigorous Testing: Ensuring Data Accuracy and Reliability

Automation without rigorous testing is just guesswork, and at Strike, we’re anything but that. Before any feature, insight, or report makes its way to your screen, it goes through a comprehensive testing process to ensure it works under real-world conditions.

Our Testing Process Includes:

1. Data Validation: We validate that our algorithms pull in data correctly, ensuring that nothing gets lost or misinterpreted during extraction.

2. Model Accuracy Testing: Our machine learning models are tested against multiple datasets to ensure they are delivering accurate insights. For example, before rolling out predictive analytics, we train and test the models on large, diverse datasets to ensure that the results are both precise and reliable.

3. User Acceptance Testing (UAT): We collaborate with internal and external users to test Strike’s features in real-life scenarios. By running tests in real environments, we can fix any potential issues before they become client-facing problems.

4. Continuous Monitoring: Even after deployment, our QA team constantly monitors Strike’s performance. Any inconsistencies or bugs are identified and resolved quickly to ensure that your data remains accurate and actionable at all times.

How Agencies and Businesses Benefit from Our Process

Because we’re always refining our automation and testing processes, businesses that use Strike benefit from real-time insights, minimal errors, and faster decision-making. Here are just a few ways agencies and companies gain from our approach:

1. Faster Reporting: Strike cuts down manual reporting time by over 80%, allowing teams to focus more on strategy and client growth.

2. Accuracy You Can Trust: Our rigorous QA means you never have to second-guess the data or insights we provide, ensuring you make decisions with confidence.

3. Smarter Recommendations: By combining your data with our machine learning models, Strike goes beyond raw numbers to offer recommendations that help you **hit growth targets faster**.

At Strike, we know that your business depends on accurate data insights and seamless automation. That’s why we combine deep industry knowledge, advanced machine learning, and thorough testing to make sure our apps deliver the most accurate and actionable reports. Every report, recommendation, and insight has been co-designed and rigorously tested so you can focus on growing your business—without worrying about your data.

If you’d like to know more about how our automation and QA processes work or have any questions about the technical design behind our apps, feel free to reach out.

We’re here to make data work for you, and we’re excited to have you onboard.

Want to get started?

Sign up for Strike to get start growing with your data today!