Junior Heinrichs — Product Design

01 · Internal tool · 2026

Benefits that HR stopped recalculating by hand

Product · HR platform, 19 screens, desktop + mobile

Users · HR team and ~70 employees across 4 companies

My role · discovery, flows, UI, build and testing — solo, with the HR lead

The group paid for an off-the-shelf HR platform that had already hit its employee cap — and still ran half the process in spreadsheets. Every month someone cross-checked absences, vacations and holidays by hand to work out each person’s meal and transport benefits, for four companies with different rules.

Rules I couldn’t change

Meal and transport benefits follow the working calendar: absences, vacation days and regional holidays all change the amount.
Holidays depend on where each employee works, not on the company.
HR must be able to override a value — but every override needs a reason someone can audit later.
Employee data is personal data: the public careers page could never touch the HR database.

Decisions

Kept the HR team’s own mental model: company totals first, per-employee calculation one tab away, configuration behind a third.
One explicit action — “Recalculate (pull absences + vacations)” — instead of silent background changes, so HR knows when numbers moved.
Exceptions live on their own screen with a mandatory justification, and every person has a day-by-day breakdown to answer “why is mine lower?”.
Careers portal built as a separate public surface with no database exposure.

Trade-offs

Rebuilt instead of upgrading the plan: the SaaS was at its employee cap and the real pain — benefits — still lived in spreadsheets anyway.
Every screen works on a phone too — HR’s dense tables are designed for desktop, but nothing breaks when an employee opens it on mobile.
Replaced a paid behavioural assessment with an in-house one (96 adjectives, 24 balanced blocks) — more work up front, no per-test cost.

Benefits screen: monthly totals by company with recalculate action — Benefits — monthly totals per company, one explicit recalculation from real absences and vacations.

Turnover dashboard — Turnover — the formula is on screen, so leadership trusts the number.

To the cent

Meal benefits matched the real month across all four companies when we replayed it through the engine.

19 screens

Replaced the paid SaaS plus the spreadsheets — employees, incidents, vacation, reviews, payslips, hiring.

Daily checks

Every route is exercised end to end and screenshotted each morning; regressions get caught before HR sees them.

02 · B2B SaaS · 2026

Showing a manager where quality is lost

Product · multi-tenant platform that grades support conversations with AI

Users · customer-service managers and admins

My role · product definition, flows, UI, build

A customer-service software company had hundreds of conversations a day and only one way to judge quality: a manager reading a sample and going with their gut. The AI could grade every conversation — the design problem was turning hundreds of scores into a decision a manager can make in a minute.

Rules I couldn’t change

Each client defines its own criteria and weights — the product can’t impose a quality standard.
Support, finance and sales have different response-time targets (SLA), mapped by queue.
Clients are isolated tenants; an admin can “view as client” but data never crosses over.

Decisions

Led with a “target vs. actual” view: the weight the manager configured against what was delivered.
Added “Where the gap is” — each criterion as a bar, sorted by the biggest loss, so the first thing read is the first thing to fix.
Split attention: low-scoring conversations from the last 24h on one side, five-star ones on the other — coaching and recognition in the same glance.
Before the AI grades anyone, it writes back “what I understood” about the client’s rules in plain language — trust starts with the manager checking the AI, not the other way round.

Trade-offs

Fewer charts, more ranked lists: managers act on “who and what”, not on curves.
PDF and CSV export kept simple — the dashboard is the product, reports are for the meeting.

Quality dashboard with AI feedback and configured vs delivered radar — Dashboard — volume, quality, satisfaction and SLA up top; an AI summary of the operation; configured vs. delivered per criterion.

Gap per criterion — “Where the gap is” — what each criterion should add to the score vs. what it actually adds.

real conversations graded across 8 agents in production, on live data — not a mock-up.

Per client

criteria, weights and SLAs configured by each tenant and fed straight into the grading.

1 screen

from “how are we doing?” to “who needs coaching, on what” — no reading conversations one by one.

03 · Customer-facing · 2026

Wholesale buying without leaking a single price

Product · B2B area inside a live e-commerce store

Users · pet shops and distributors buying with a company ID

My role · flow, UI, rules and build

A pet-health manufacturer sold direct to consumers and wanted retailers to buy in the same store, at their own price tier, without a sales rep in the middle. The hard part wasn’t the screens — it was making sure a business price could never reach a consumer, and that the order matched what the ERP would invoice.

Rules I couldn’t change

Only registered companies (valid company ID) can see wholesale prices.
Two tiers — retailer by default, distributor only when an admin approves.
The ERP is the source of truth for every price; orders are invoiced to the company.
Consumer coupons never stack with wholesale prices.

Decisions

Sign-up looks up the company ID in the public registry and pre-fills legal name and status — less typing, fewer fake accounts.
Everyone starts as retailer and can buy immediately; upgrading is an admin decision, not a form.
The server decides which price a person sees; wholesale responses are never cached at the edge.

Trade-offs

Checkout re-checks every line against the ERP — a little slower, but an order can’t go out at a stale price.
If the ERP doesn’t answer, B2B checkout stops with a clear message instead of guessing; consumer checkout keeps working.

Also

Work I can describe but not show

emCall redesign

Intelligence Factory · US healthcare AI · 2025

Redesign of a digital-health product used by clinics and patients — journeys, flows and high-fidelity UI — plus pages for clinical care-pathway schemas and care-plan generation, built in Webflow and optimised for mobile.

Internal AI tools unit

StormX · martech · 2026

As production lead I own UX/UI and the design system for a set of internal AI tools (creative approval, content casting, ads QA), and built the unit’s delivery dashboard. Under NDA.

Client approval tool

Creative agency · 2026

Replaced a third-party plugin: clients review images, PDFs, copy and live sites from a link on their phone, pin comments and approve; the team resolves and assigns in one queue.