We're a small team

Our mission: turn complex leadership survey data into clear, automated insight.

PRISM is built by researchers, data scientists, engineers, and visualization specialists who got tired of watching brilliant people waste hours on manual reporting. So we fixed it.

8

team members

4+

disciplines

1

shared mission

We automate the work

From raw survey exports to publication-ready reports, our systems handle the pipeline end to end, so researchers, evaluators, and practitioners can focus on turning insight into action.

Automated Report Generation

We build pipelines that take raw survey data and produce polished, client-ready leadership impact reports.

Data Quality & Validation

Every report is backed by rigorous data checks to catch anomalies, flag gaps, and ensure consistency before anything reaches a reader.

Visualization & Storytelling

We design data narratives that make complex feedback legible. Clarity first, aesthetics second.

Scalable Research Infrastructure

From one participant to thousands, our systems scale without friction so our experts can focus on insight, not operations.

CCL Systems Integration

PRISM connects directly with existing CCL tools and data sources, so there is no redundant entry, no broken handoffs, and no starting from scratch.

Audit Trail & Version History

Every report generation is logged. Know what ran, when, and what changed, so your team can stand behind every number with confidence.

We believe in

Automation should serve people, not replace judgment.

Clarity is the most underrated form of respect.

Good data without good communication is just noise.

Every report is read by a real person making real decisions.

Speed and rigor are not opposites. They reinforce each other.

Tools built for research and evaluation should be designed by the people who use them.

How we work,

Clarity

We write for the reader, not the analyst. If it can't be explained simply, it isn't understood well enough.

Rigor

We hold our methods to high standards — because the decisions downstream depend on the quality of what we build.

Collaboration

Cross-functional, geographically distributed, and deeply aligned. We build better by building together.

Practical Insight

We're not interested in cleverness for its own sake. Every feature we ship has to make someone's work meaningfully easier.

Thoughtful Automation

We automate the tedious, preserve the human, and are honest about where one ends and the other begins.

Curiosity

We ask why the data says what it says. Then we ask again. The second answer is usually more interesting.

Eight people.

“Together, we build systems that turn leadership data into evidence of impact.”