QI Value Systems assesses character traits through survey data — but turning raw survey responses into readable analytics was consuming the team’s time. Building each visualization meant manual text-to-attribute matching, then handing the data off to third-party tools like Tableau just to produce a graph. 247 Labs built QI Value Systems a purpose-built visualization system: a database and heatmap engine where users import surveys, choose the attributes they care about, and generate graphs on demand.

Previously, producing analytics meant manually matching survey text to attributes — a labor-intensive, error-prone process that stretched turnaround times well beyond what the business needed.

Even after the matching was done, the team couldn’t generate visuals themselves: third-party tools like Tableau were required for graph generation, adding another dependency, another workflow, and another delay between collecting survey data and delivering insight. The process didn’t scale, and every manual step introduced opportunities for error.

247 Labs addressed this by developing a novel system built around a database and heatmap engine.

Users import surveys directly into the platform, then pick exactly which attributes they want visualized on a graph — no manual matching, no external tooling. The system generates the visualization automatically, cutting production time while giving the team far more control over how their character-trait data is analyzed and presented. Predefined templates make the output consistent and export-ready from day one.

With no Tableau handoff and no manual matching, the new system reshaped the analytics workflow end to end — complex character-trait data now becomes clear visual insight through a single purpose-built platform: