Pioneering AI-Powered Research Operations

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Overview

Role: UX Researcher & AI Implementation Lead
Company: UnitedHealth Group
Team Size: 4 Researchers
Timeline: Q2 2025
Impact: 40% efficiency gain in research synthesis

The Challenge

As a UX Researcher at UnitedHealth Group, I identified a critical opportunity to enhance our research team's efficiency and output quality. Our team of 4 researchers was handling an increasing volume of user interviews, data synthesis, and stakeholder reporting – often spending 60% of our time on manual documentation and synthesis tasks rather than strategic research activities.

Context:

Key Pain Points

  • Time-intensive synthesis: Researchers spent 15-20 hours weekly on interview transcription and initial analysis

  • Inconsistent documentation: Varying approaches to research documentation across team members

  • Delayed insights delivery: Average 5-7 days from data collection to actionable insights

  • Scalability challenges: Growing research demands without proportional team expansion

Opportunity

Microsoft Copilot's integration across our enterprise Microsoft 365 suite presented an untapped opportunity to revolutionize our research operations through AI-powered assistance.

My Approach

  • Stakeholder Alignment

    • Presented business case to leadership demonstrating potential ROI

    • Secured buy-in from IT security for Copilot usage with research data

    • Established success metrics aligned with department OKRs

    Tool Evaluation

    • Conducted comprehensive audit of Copilot capabilities across Word, Excel, PowerPoint, and Teams

    • Mapped Copilot features to specific research workflow pain points

    • Developed use case matrix for different research methodologies

  • The Perfect Prompt Formula

    I created a structured framework for consistent, high-quality AI outputs:

    G.O.A.L Framework:

    • Goal: Define the specific research objective

    • Output: Specify desired format and structure

    • Audience: Identify stakeholder needs and context

    • Length: Set appropriate scope parameters

    Research-Specific Prompt Library

    Developed 25+ tested prompts covering:

    • User interview analysis

    • Persona development

    • Data synthesis reports

    • Stakeholder presentations

    • Survey analysis

  • Curriculum Development

    Created comprehensive training materials including:

    • Interactive workshop presentations

    • Hands-on exercise workbooks

    • Quick reference guides

    • Video tutorials for asynchronous learning

    Workshop Facilitation

    Led three 90-minute training sessions:

    • Session 1: Copilot fundamentals and prompt engineering

    • Session 2: Research-specific applications and best practices

    • Session 3: Advanced techniques and workflow integration

    Ongoing Support Structure

    • Established weekly "Copilot Office Hours" for troubleshooting

    • Created Slack channel for prompt sharing and peer learning

    • Developed a feedback loop for continuous improvement

The Solution

Phase 1:

Foundation (Week 1-2)

  1. Set up Copilot access and permissions for the research team

  2. Conducted baseline efficiency assessment

  3. Introduced basic prompt engineering concepts

Phase 2:

Integration (Week 3-4)

  1. Integrated Copilot into existing research workflows

  2. Customized prompts for team-specific needs

  3. Established quality assurance protocols

Phase 3:

Optimization (Week 5-6)

  1. Refined prompt library based on team feedback

  2. Automated recurring research tasks

  3. Scaled successful practices across broader UX team

Key Innovations

Research Synthesis Accelerator

Developed a standardized Copilot workflow that reduced interview analysis time from 45 to 15 minutes per session:

Input: Raw interview transcripts
Process: Custom Copilot prompts for thematic analysis
Output: Structured insights with quotes and frequency counts

Dynamic Persona Generator

Created prompt templates that transform research data into rich, actionable personas in under 30 minutes:

  • Demographics and psychographics

  • Jobs-to-be-done framework integration

  • Pain points with severity rankings

  • Opportunity mapping

Stakeholder Report Automation

Built a Copilot-powered reporting system that generates executive summaries from research findings:

  • Key insights extraction

  • Data visualization recommendations

  • Actionable next steps

  • Impact prioritization matrix

Results & Impact

  • Quantitative Metrics

    Efficiency Gains

    40% reduction in research documentation time

    60% faster insight delivery (from 5-7 days to 2-3 days)

    3x increase in research output volume

    25 hours/week saved across the team (6+ hours per researcher)

  • Qualitative Outcomes

    Team Empowerment

    Researchers shifted focus from documentation to strategic analysis

    Increased confidence in handling larger research projects

    Enhanced collaboration through standardized processes

  • Success Stories

    Case Example: Navigation Study

    Before Copilot: 2 weeks from interviews to final report

    With Copilot: 4 days end-to-end, with richer insights

    Business Impact: Enabled faster iteration on critical UX improvements


"Camilla's leadership in bringing Copilot to our research practice has been transformative. We're delivering insights faster while actually improving quality – something I didn't think was possible."

~ Stephanie, Senior UX Designer

Conclusion:

This initiative demonstrates my ability to identify strategic opportunities, lead technological transformation, and deliver measurable business value through innovation. By successfully implementing Copilot across our UX research practice, I not only improved team efficiency by 40% but also positioned our department as pioneers in AI-powered research operations.

The framework and training program I developed have become organizational assets, scalable beyond our immediate team and adaptable to evolving AI capabilities. This project showcases my unique blend of research expertise, technical acumen, and leadership skills – positioning me as an ideal candidate for roles requiring innovation, strategic thinking, and the ability to drive meaningful change.

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