80%
of orgs report improved decision-making
Case study · Healthcare analytics
From SurveyGizmo to a unified platform — 80% report better decision-making.
A US healthcare analytics company outgrew SurveyGizmo and needed a unified platform — surveys, dashboards, and analytics tailored to organizational requirements. Over two years we built it from the ground up: integrated survey functionality, dynamic dashboards, and a scalable architecture that 80% of organizations credit with improved decision-making.
Case · Hospitals
shippedUnited States · Healthcare Analytics
2 yrs
ground-up build
4
specialists on the engagement
Unified
surveys + dashboards + analytics
Stack·
PHP · Angular · PostgreSQL
80%
of orgs report improved decision-making
2 yrs
ground-up build
4
specialists on the engagement
Unified
surveys + dashboards + analytics
The challenge
Three problems — all at once.
The client was outgrowing SurveyGizmo — they needed a unified custom platform tailored to the unique requirements of their healthcare-organization customer base, not a generic SaaS.
Generating graphics and dashboards at scale required careful attention to user preferences and data-presentation standards — off-the-shelf chart libraries didn't survive contact with real organizational data needs.
Users had varying levels of technical expertise. The UI had to balance simplicity (for non-technical respondents and decision-makers) with the functional depth analysts expected.
Data integration across multiple sources risked introducing inconsistencies. The platform needed rigorous data-quality protocols, plus scalable architecture for growing volumes of survey data and user traffic without degrading.
What we did
Seven specific things.
- 01Built the analytics platform from the ground up, designed against the specific data shapes the client's customers worked with — not against generic survey tooling
- 02Integrated survey functionality natively with the analytics layer — no separate tools to coordinate, no data-export round-trips
- 03Optimized data-processing workflows for fast dashboard and graphic generation, even with multi-source, high-volume datasets
- 04Designed the UI to scale from non-technical survey respondents to power-user analysts inside the same surface area
- 05Implemented quality-assurance protocols around data ingestion to surface and fix inconsistencies before they reached dashboards
- 06Engineered a scalable architecture for growth — in both data volume and user concurrency — with performance budgets enforced at the platform level
- 07Continued evolution over a 2-year engagement: new dashboard types, expanded integrations, and analytics depth as the client's customer base grew
Tech stack
PHPAngularPostgreSQL
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