CASE STUDY

Accelerating insights—from hours to <10 clicks

After implementing Kubit, Tripletex is expediting product improvements, reducing their data analyst workload, and empowering their Product Managers to self-serve insights.

When Strong Data Infrastructure Isn’t Enough

Tripletex had strong data infrastructure in place, but product teams lacked direct access to behavioral insights, slowing decision-making and overloading analysts with ad-hoc SQL requests. They needed a scalable, self-service solution that maintained trust in data while enabling faster, more informed product decisions.

Operationalizing Behavioral Data Across Teams

With Kubit, Tripletex can now run funnel and path reports, track time between key actions, and surface high-impact user segments, all without writing SQL. Product Managers can explore insights on their own, enabling faster iteration, smarter feature prioritization, and more targeted outreach.

Key Outcomes:

Faster insights

Answering key product questions in real-time, without depending on other teams.

Granular analysis

Teams can break down product usage by feature, user segment, time-to-action, and more.

Trusted data

SQL visibility and data transparency have increased trust and the validity of insights.

“Before, it took a week’s worth of analytics to get product and customer insights. With Kubit, it’s taking just minutes.”

Emil Martensson

Data Analyst

Targeted Improvements:

Targeting Key Optimizations

Tripletex now builds prioritized outreach lists based on in-product behavior, enabling teams to engage the right users at the right time.

Streamlining User Journeys

Funnel and path reports provide a clear view into where users drop off and how they navigate the product, unlocking optimizations that were previously invisible.

Prioritizing Feature Optimizations