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Rapid buildout to define user needs, perform exploratory processing of usability data and UXR‑principles evaluations, synthesize prioritized insights, produce lightweight prototypes and reproducible analysis artifacts, and hand off clear requirements to engineering and rollout teams.

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Research-Product-Build-Out

Rapid buildout to define user needs, perform exploratory processing of usability data and UXR‑principles evaluation, synthesize prioritized insights, produce lightweight prototypes and reproducible analysis artifacts, and hand off clear requirements to engineering and rollout teams.

Product Summary

An all‑in‑one AI learning and analysis assistant for medical students and research residents that streamlines data preprocessing, variable discovery, analysis selection, and interpretation. Users upload or connect deidentified datasets; the system asks targeted questions to profile data and variable types, define appropriate analytic methods, and finally will run analyses and deliver clear report-ready interpretations of data.

Primary users and value

Target users: medical students, clinical research residents, and early‑stage clinician‑researchers Value: reduces technical barriers to data analysis; accelerate learning by making analytic choices explicit; produce output that can be inspected, reproduced, and shared with supervisor

Key Product Needs

Educational scaffolding: inline tips, micro-tutorials, inductive reasoning to define data steps and support learning, user (learner) experience optimized Safety and compliance: guides to deidentification inline with instructions, system privacy, and auditable steps for reproducibility Generative interpretation: plain language summaries as well as report-ready language

Current Status: Handoff

Handoff to rollout team for Fall semester — handoff complete; pilot deployment window: Aug–December; rollout owner: (__); pilot cohort: 1 residency program; access: internal; next milestone TBD: second iteration user feedback, internal revisions and second rollout.

🧭 UX Evaluation Rubric

This rubric is used to assess the usability, clarity, and overall quality of a design, prototype, or digital product.
Each dimension includes a guiding question to evaluate user experience quality.


🎯 Rubric Dimensions

Dimension Guiding Question
🟡 Efficient Can the user complete tasks with minimal effort?
🟡 Functional & Intuitive Does it work the way the user expects?
🟡 Engaging Is the user focused and not distracted?
🟡 Comprehensive Is the tool or content accurate and reliable?
🟡 Accessible & Easy to Use Is the experience readable, inclusive, and navigable for all users?

📊 Rating Scale

Rating Color Meaning
1 🟥 Non-functional — needs immediate attention
2 🟧 Major issues — significant usability problems
3 🟨 Moderate — works but needs refinement
4 🟩 Good — meets expectations with minor polish needed
5 🟦 Excellent — well executed and user-ready

📝 How to Use This Rubric

  1. Evaluate each UX dimension.
  2. Assign a rating between 1–5 based on the criteria above.
  3. Document the reasoning for each rating (qualitative notes).
  4. Summarize key issues + recommendations for improvement.

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Rapid buildout to define user needs, perform exploratory processing of usability data and UXR‑principles evaluations, synthesize prioritized insights, produce lightweight prototypes and reproducible analysis artifacts, and hand off clear requirements to engineering and rollout teams.

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