ProgramsBMIS476 Integrated Project Management Capstone Course (Spring 2026)ProjectsInstant Interview Automation and Bias Detection

Project Title: Instant Interview Automation and Bias Detection

HRMLESS

Details
Project Title Instant Interview Automation and Bias Detection
Project Topics Artificial Intelligence & Machine Learning Employee and Labor Management Information Technology (IT) Product Design & Development Software Design & Development Talent Management UX/UI & Human-Centered Design
Skills & Expertise
Project Synopsis: Challenge/Opportunity
HRMLESS excels in providing innovative hiring solutions but faces a critical challenge in maintaining a competitive edge through automation and fairness in recruitment. Currently, candidates experience delays in interview scheduling, leading to potential loss of talent and inefficient hiring processes. Additionally, companies are increasingly pressured to adopt ethical hiring practices that promote diversity, equity, and inclusion (DEI). The lack of tools to analyze interview questions for bias means HRMLESS risks perpetuating unfair hiring practices, which could damage their reputation and client trust.
Project Synopsis: Activities/Actions Required
  1. Key activities will include conducting research on Twilio's API and existing bias detection frameworks, developing a detailed project plan using Microsoft Project, and designing user interfaces that enhance user experience (UX/UI).
  2. Students will engage in iterative design and prototyping methods, enabling them to collect feedback and make necessary adjustments.
  3. They will also analyze interview data to train machine learning models for bias detection, employing statistical methods to assess fairness metrics.
  4. Deliverables will include a fully functional automated calling workflow, a bias analysis report, and a user-friendly dashboard for HRMLESS.
Project Synopsis: Expected Results
  • The expected outcomes include a fully operational phone interview automation system and a bias detection tool that provides actionable insights.
  • Learning outcomes for students will encompass proficiency in software development, project management, and ethical considerations in AI.
  • Business value includes streamlined candidate engagement, improved hiring efficiency, and enhanced DEI practices.
  • SMART goals will include completing the automated workflow by the end of Month 2, delivering a functional bias detection tool by Week 10, and achieving a user satisfaction score of at least 80% in testing.

Project Timeline

Touchpoints & Assignments Date Type

Projects Kickoff

 Feb 03 2026 Event

Student Temperature Check

 Mar 06 2026 Evaluation

Student temperature Check #2

 Mar 27 2026 Evaluation

End of Project Self Reflection

 May 08 2026 Evaluation

Program Managers

Name Organization
Clayton Looney University of Montana

Teams

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