An Employee Stress-Check and Survey SaaS, Built on Next.js + AWS Amplify + Neon

What changed

• Anonymity
  A design that rigorously protects respondents
• Tenancy
  Isolated per client company
• Release platform
  Rapid deploys with AWS Amplify

Challenge

A SaaS for employee stress checks and organizational surveys has to firmly protect the anonymity of respondents (employees) while still giving HR and leadership aggregated results at a granularity that lets them read the state of the organization. The crux is balancing two conflicting requirements: "don't identify any individual, but make the trends visible." And because a single SaaS serves multiple client companies, the boundaries for tenant isolation and data handling had to be built in from the very start.

Approach

1. 01 Mapped the workflow of a stress check and survey (distribution, response, aggregation, reporting)
2. 02 Unified front-end and server-side processing with Next.js
3. 03 Adopted AWS Amplify as the hosting and authentication foundation
4. 04 Chose Neon (cloud Postgres) for the database and paired it with Amplify to secure a fast startup
5. 05 Ensured per-tenant data isolation at the database-design level
6. 06 Set the aggregation boundary at the smallest unit that cannot identify an individual (e.g. department × N or more people)
7. 07 Organized the aggregation-report screens for HR and administrators around their workflow

Key success factors

Balancing anonymity and analysis

Setting a 'minimum of N people' as the aggregation boundary eliminated individual-identification risk at the design level.

Rigorous tenant isolation

We cleanly separated each client company's data boundary starting from the database design.

Startup speed with Amplify + Neon

Combining Amplify's hosting and authentication with Neon's managed database secured speed for the initial build.

Reporting designed around HR work

An aggregation-report UI aligned with administrators' workflow made it a tool that actually gets used in the field.

Solution

With the combination of Next.js + AWS Amplify + Neon, we quickly stood up the hosting, authentication, and data layers. We separated each tenant's data boundary at the database-design level, and by setting the aggregation boundary at the "smallest unit that cannot identify an individual," we achieved both anonymity and organizational analysis. Amplify's CI/CD gives it a foundation that keeps its momentum as features are added.