Flagship case study · Constraint-based matching
Designing Human-Supervised Provider Assignment
Using rules-based matching and explainable recommendation logic while preserving authorized human review.
Every provider identity and scenario is fictional. Licensure and matching logic are simplified and are not used for clinical decisions.
01 · Executive summary
The product challenge in one minute.
A fictionalized decision-support model that evaluates simplified qualification, availability, capacity, and timing constraints while keeping an authorized coordinator in control.
02 · Context and business problem
Why the problem mattered.
Time-sensitive review requests may need to be matched with an appropriately qualified and available provider under multiple operating constraints.
Business problem
What had to change
Manual assignment can create delay, inconsistency, and limited transparency. A rules-based product needed to explain recommendations, support review and override, and escalate safely when no eligible match existed.
03 · Users and stakeholders
The people making, supporting and governing the decision.
Partnered with coordinators, domain experts, engineering, and operational leaders.
04 · Constraints and complexity
The happy path was not the product.
Timing, partial outcomes, missing data, conflicting state and system boundaries shaped the product strategy from the beginning.
No eligible provider
Two equally eligible providers
Capacity changes after a recommendation
A restricted case has one eligible provider
A time-sensitive request enters an existing queue
An authorized user selects a different eligible provider
05 · Product strategy
Reduce ambiguity before adding automation.
The strategy connected the operating problem to explicit states, rules, ownership, exceptions and a measurable outcome. Product definition focused on the user decision and the behavior required to make it reliable.
Led product discovery, business-rule definition and UAT
Led definition of matching variables, hard and soft constraints, override behavior, and audit needs.
06 · Prioritization decision
Choose the decision that unlocks operating value.
“Treat qualification and simplified licensure as hard constraints.”Primary strategic decision
The priority was selected because it addressed the core workflow constraint and created a foundation for safer automation, clearer ownership or more reliable downstream behavior.
See how the MIN–MAX Product Model supports strategic prioritisation and transparent trade-offs07 · Workflow, rules and product model
The visible experience and the logic beneath it.
Fictional data · not a clinical decision system
08 · Alternatives and trade-offs
Make product trade-offs explicit.
- 01
Use capacity and timing as transparent ranking inputs.
- 02
Explain why a recommendation is eligible before asking for acceptance.
- 03
Allow authorized users to review or override a recommendation.
- 04
Escalate to manual review when no eligible match exists.
09 · Cross-functional leadership
Align domain expertise with technical delivery.
- Facilitated scenario design with operational coordinators
- Aligned domain and operating constraints
- Partnered with engineering on deterministic matching behavior
- Defined review, override, and audit acceptance criteria
- Designed measures for speed, balance, and user trust
10 · Delivery and rollout
Connect discovery to release readiness.
Led definition of matching variables, hard and soft constraints, override behavior, and audit needs. Delivery linked product rules to user stories, measurable acceptance criteria, UAT scenarios, operational readiness and post-launch monitoring.
Explore the Discovery-to-Optimisation Process for discovery, validation and release readiness11 · Measurement framework
Define success before development.
The intended outcome is clearly distinguished from a verified result. A production measurement plan would pair the goal with adoption, task efficiency, quality, reliability and exception signals.
12 · Results
An intended outcome, not an invented metric.
Designed to support faster, more consistent assignment without removing authorized human judgment.
Related product artifacts
Sanitized examples, built for review.
See how product thinking becomes tangible through public-safe decision tools.
View requirements, roadmap, workflow and measurement examples in the Product Artifacts Library