The Brief
Core problem
Why an off-the-shelf approach couldn't solve it
Survey tools and form builders can capture responses, but none are built for continuous cross-site benchmarking against a single evolving data model, or for delivering a structured intervention library (the Action Bank) with audio and resource content alongside the results. This needed a purpose-built data architecture, not a plugin.
Pull-quote
Psychosocial risk isn’t a one-time survey – it’s a pattern that only shows up when you can compare sites and time periods reliably, at scale.
How it reached NextEnvision
Delivered as a white-label build in partnership with a government body supporting the university research centre — a greenfield platform built entirely from scratch.
What We Built
MODULE
1
Survey & Risk Tracking Engine
Continuous survey intake from mine-site staff, structured to track psychosocial risk indicators over time rather than as one-off snapshots.
- Ongoing survey response capture, not a single-submission form
- Time-series tracking of risk indicators per site and per period
MODULE
2
Cross-Site Benchmarking & Data Model
The core engineering challenge: a data model built to reliably aggregate and compare survey results across mine sites and time periods at scale.
- Single-table DynamoDB design for efficient cross-entity querying
- Scheduled aggregation jobs via EventBridge for ongoing benchmarking
- Generates actionable recommendations from benchmarked results
MODULE
3
Action Bank Resource & Media Library
A dedicated, interactive intervention library rather than a static PDF or resource page – built to support multi-format content including audio.
- Dedicated S3 storage for resource and audio content
- Structured for a genuinely interactive, browsable toolkit
Tech Stack
Category
What we used
