What Every QA Leader Can Learn from Paramount About Analytics Testing
Delivering analytics quality at a global scale is never easy. One broken event or missed signal can derail product launches, fuel bad decisions, and shatter customer trust overnight.
Most teams don’t think about analytics testing until something goes wrong. Bad data slips into dashboards, broken events show up too late, and people scramble to patch holes they never saw coming. Teams spend more time fixing reports and chasing missing numbers than building new features or helping the business grow.
Paramount took a different approach. Instead of letting analytics problems pile up, they built their process so data issues get caught before they become big headaches.
In a recent Testlio webinar, Deepti Shoemaker, Director of Quality Engineering at Paramount, and Testlio’s COO and Interim CEO, Summer Weisberg, broke down exactly how they transformed analytics testing from a recurring pain point into a competitive advantage.
Here are our top 5 highlights from the session.
Build Teams That Stay Agile and Involved
As analytics pipelines grow more complex, traditional team structures often can’t keep up. Siloed QA teams focus on narrow products and often miss the bigger picture.
Paramount flipped this model by structuring quality engineering around platforms like web, mobile, and connected devices, rather than products. This gives them the flexibility to move talent quickly to where it matters most instead of shuffling requests through layers of product-specific teams.
The biggest difference, though, is in how quality is brought into every step of the process. Paramount gives QA a voice at every roadmap, planning, and design session. Testers review data requirements and tracking strategies before a single line of code is written. When testers are involved early, teams can catch data gaps and measurement risks before they become baked-in problems.
Leverage Data to Shape Test Coverage
In an ideal world, you’d be able to test every device, every user flow, and every possible edge case. But most leaders know that unlimited coverage is unrealistic. Budgets, timelines, and team capacity often force trade-offs. What separates organizations that consistently deliver trusted analytics is how they decide where to focus their efforts.
At Paramount, test coverage isn’t set in stone or built on habit. The team regularly examines usage data, business KPIs, and real customer feedback to decide which features, devices, or regions deserve the most attention. This data-first approach means testing follows what users actually do, not just what was important last quarter.
Make Quality a Shared Responsibility
Analytics failures are rarely one team’s fault. Yet, in most companies, data issues are often passed between departments and teams with little shared accountability.
Paramount changed this by treating analytics quality as a mission shared across the organization. Engineers, product managers, QA specialists, and partners like Testlio are all expected to own data reliability and speak up when they spot a gap.
This culture shift has two major benefits. First, it makes feedback candid and constant, uncovering silent problems that might otherwise go unnoticed. Second, it encourages every stakeholder to flag analytics risks at any stage, not just during testing or after a release.
That level of collective responsibility makes the difference between constantly reacting to data fires and building analytics confidence into every sprint.
Invest in Tools That Actually Solve Problems
There is no shortage of analytics testing tools, but more isn’t always better. Paramount only invests in technology that directly supports faster, more reliable analytics or makes the team’s job simpler.
They target automation for repetitive validation work, and regularly review whether each tool is actually helping the team spot issues early and release with confidence. When something no longer serves the team or the product, they let it go.
Treat External Partners as True Extensions of Your Team
“Our partnership with Testlio is dynamic. The scope adjusts based on what we’re tackling, and there is constant shared accountability. Testlio’s team brings adaptability and quality thinking to every project—they aren’t just executing test cases. They challenge us, share feedback, and help us stay focused on what matters most for our users and the business.”
– Deepti Shoemaker, Director of QE, Paramount
Many companies treat crowdsourced QA resources as temporary help or task-takers, which can lead to context gaps and missed opportunities for growth.
Paramount’s strongest partnerships, by contrast, are built on deep integration and mutual accountability. Partners are plugged into internal workflows, encouraged to provide honest feedback, and share in both challenges and wins.
They participate in roadmap planning, event schema discussions, and post-release reviews, so they have the context to spot analytics issues early and help drive improvements. This expectation of accountability makes the difference between a partner who just files tickets and one who flags problems before they become customer pain.
Analytics Testing Shouldn’t be an Afterthought
Analytics only becomes valuable when it’s part of every decision, not something you tack on at the end. The organizations that make analytics a core part of their process build stronger products, move faster, and avoid the frustration that comes from second-guessing their data.
Paramount’s experience is proof that great things happen when analytics is a shared focus. Their commitment to collaboration and partnership sets a tone that others can look to as an example of what’s possible. With this kind of mindset, analytics becomes something teams genuinely value and rely on, making every release stronger and every decision more informed.
If you’re ready to bring this approach to your own organization, we’d love to help. Book a call with our team to talk through your analytics testing goals and see how you can make quality a true advantage.