MGMichelle GottreichClinical research tools & support For the people
behind the progress.

Portfolio / selected work

Solve the work.
Not just the screen.

Research runs on hundreds of small decisions. My work focuses on making those decisions clearer through practical tools, thoughtfully designed workflows, and AI-assisted systems that keep people in control.

Available now

Tools you can explore today.

Each project is useful on its own. Each also documents a piece of the design process.

01 / Live projectInteractive learning tool

Clinical Research Coordinator Aptitude Profile

How do you help someone understand what CRC work asks of them before they are ever responsible for a study?

Explore the live assessment

The challenge

Job descriptions list duties, but rarely illustrate the judgment, organization, and communication involved in day-to-day coordination.

The design

Four context questions and 24 workplace scenarios lead to a profile across eight working dimensions. Instead of a simple pass/fail label, the experience highlights strengths and directions for growth.

What it demonstrates

Scenario design, structured scoring logic, plain-language feedback, branching user experiences, and iterative review of a working browser-based tool.

Important boundary

This is an educational self-reflection tool, not a validated psychological test, a hiring assessment, or a measure of competence.

02 / Live projectKnowledge and content design

The Coordinator Resource Hub

Practical guidance organized around the questions people actually ask when entering clinical research.

Explore the free guides

The challenge

Newcomers need approachable advice that connects healthcare, administrative, and scientific experience to the realities of research work.

The design

A resource journey from exploring the role, to preparing a resume and interview, to developing stronger coordination habits. The first four guides are freely available.

What it demonstrates

Audience-centered information architecture, accessible educational writing, and a consistent experience across navigation, content, and interactive learning.

What is not claimed

These resources are independently developed educational materials, not institutional training, certification, or official regulatory guidance.

On the workbench

Ideas being made testable.

These are design directions, not launched products. When a usable demonstration is ready, it will be linked here with its limitations and lessons learned.

03 / Design concept

AI-Assisted Protocol Screening

Turning complex inclusion and exclusion language into traceable screening questions without hiding uncertainty behind a confident-looking answer.

Design priorities

  • Criteria mapped to source language
  • Uncertain or missing information stays visible
  • Human review before any eligibility decision
  • Fictional data in public examples

Concept only. No public screening system is available.

04 / Design concept

Coordinator Operations Toolkit

Checklists, handoff templates, and study visit readiness tools to make task dependencies and follow-up clearer.

Design priorities

  • Understand the workflow before the template
  • Flag dependencies and unfinished work
  • Make ownership and next actions explicit
  • Keep tools easy to adapt

Individual templates and demonstrations are in development.

The process

Human judgment is the design requirement.

01

Map the real work

Start with users, decisions, risks, dependencies, and the places a handoff can fail.

02

Build a reviewable solution

Make information, assumptions, and next steps legible. Use AI where it helps, not where it obscures accountability.

03

Test, correct, repeat

Check edge cases and communication failures, refine the instructions, and improve the working experience.

How these projects are built: AI-assisted tools may support coding, prototyping, and content iteration. Project framing, clinical research context, evaluation priorities, and acceptance decisions remain human-directed. Public examples use fictional information and do not contain identifiable participant data or an employer's confidential study materials.

Have a problem worth solving?

Better workflows
start with a question.

Tell me which part of the work is harder than it needs to be. Let's explore whether a practical resource, workflow redesign, or carefully scoped AI-assisted tool would help.

Start a conversation →