Point accelerates AI productivity and code quality with Quotient

Point achieved an 11% improvement in code quality and 13% improvement in AI tooling productivity.

13%
Improvement in AI tooling productivity

The Challenge: fragmented data with limited visibility

Point, home equity financing company, was looking for a solution to better understand and improve developer experience, especially as AI usage grew. The team cared deeply about building high-quality software, yet found it difficult to get reliable insights into what caused friction or whether their investments were actually working. Existing reporting methods —pulling JIRA data, stitching spreadsheets, and running manual analysis — were difficult to parse, created an incomplete picture, and weren’t actionable.

As AI tools were rapidly being adopted across the organization. Point’s leaders needed to understand where these tools genuinely accelerated productivity and where hidden bottlenecks like interruptions, unclear documentation, or otherwise might be limiting their impact.

"We were piecing together data manually and still couldn’t see how our teams were really doing — or whether the improvements we made were actually working."

Scott Moore
Director of Engineering

The Solution: better use of AI and improved developer experience

With Quotient, Point was able to immediately uncover the specific friction points shaping developer experience. Quotient’s insights prioritized opportunities into outcome-driven actions, making improvements more iterative and actionable rather than reactive or ad hoc. As AI adoption accelerated, Quotient also showed where bottlenecks were limiting its effectiveness, enabling teams to apply AI tools directly to the pain points where they could have the greatest impact.

Instead of sifting through disconnected metrics or stitching together spreadsheets, Quotient now gave managers a unified source of comprehensive data, insights on shifting bottlenecks, and tools to track impact. This clarity empowered teams to not only address immediate issues but also strengthen broader processes and collaboration patterns.

Since adopting Quotient, Point has achieved:

  • 2x increase in AI usage and 13% improvement in AI productivity
  • 11% increase in code quality satisfaction
  • 12% increase in satisfaction with documentation

“We really appreciate the action-driven focus. We’ve used tools that create tons of data, but it’s hard to know what to do with it. Quotient actually turns insights into outcomes — making conversations more focused, helping us try meaningful changes, and even shaping how our teams think about their processes. That’s incredibly valuable.”

Scott Moore
Director of Engineering

The Impact: a stronger engineering culture

With Quotient, engineering leaders at Point can now catch friction earlier, align teams on the most meaningful fixes, and maintain the quality and dependability their customers trust. By acting on the right friction points, engineering teams have built a repeatable improvement motion — one that continuously enhances focus, collaboration, and the experience of building at Point. Quotient ensures those gains drive measurable productivity that supports Point’s continued growth and customer impact.

Conclusion: why engineering leaders choose Quotient

Quotient equips Point with:

✓ Clear visibility into what impacts productivity

✓ Recommendations that accelerate the right changes

✓ Demonstrable improvement in both developer experience and delivery outcomes

Schedule a demo today.

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