Overview

Our client, a US-based education research organization, launched an applied research project to validate an early childhood assessment tool. The study required advanced psychometric analysis, mixed-methods research, and compliance with IRB standards. The objective was to ensure the tool’s reliability, usability, and scalability while leveraging AI and Tableau to streamline data handling, automate workflows, and create actionable insights for implementation at scale. Bacancy’s data analysts, research specialists, and Tableau developers collaborated to deliver a secure, organized, and visually compelling analytics system that supported both quantitative and qualitative findings.

Technical Stack

  • Tableau
  • Python
  • PostgreSQL
  • Gemini
  • Looker Studio
  • ChatGPT
  • ClickUp
  • GitHub Actions

    • Industry

    Education

  • region

    • Region

    United States

  • project-size

    • Project Size

    Non-Disclosable

Highlights

Developed Tableau dashboards to visualize assessment reliability, consistency, and scoring distribution

Built AI-enabled workflows for data cleaning, transcription, and qualitative coding

Delivered psychometric validation using factor analysis, item correlation, and inter-rater reliability testing

Produced clear, accessible visual reports for technical and non-technical stakeholders

Challenges & Solutions

The client approached us with huge volumes of scoring logs, survey responses, and timing data that were difficult to organize and analyze effectively.

  • Solution: Our Our tableau developer built structured pipelines using R and Python to clean and organize the data, then connected it to Tableau for automated updates and real-time visualizations. This gave the client a reliable, up-to-date view of their data without manual effort.

They needed to ensure that their assessment tool was both psychometrically sound and consistent, as it played a critical role in decision-making.

  • Solution: Our team conducted detailed factor analysis, internal consistency checks, and inter-rater reliability testing. We then built Tableau dashboards to summarize these findings, making it easy for the client to monitor validation indicators.

The client had plenty of qualitative data but struggled to turn it into actionable insights for their team.

  • Solution: We used AI-assisted transcription and coding to process the data, and then visualized key themes through Tableau heatmaps and word clouds. This allowed the client to quickly identify patterns and use them in decision-making.

Because of the sensitive nature of the project, the client needed strict compliance with IRB and data privacy protocols.

  • Solution: We implemented secure, access-controlled systems and dashboards with transparent audit trails. This not only ensured compliance but also gave the client confidence in the integrity of their data handling process.

Core Features

  • Data Cleaning & Integration Pipelines
  • Tableau Dashboards for Reliability & Consistency
  • AI-Powered Transcription & Qualitative Coding
  • IRB-Compliant Data Management System
  • Technical & Visual Reporting Framework
  • Multi-Method Research Insights in One Place
  • no.-of-resources

    • No. of Developers

    04

  • time-frame

    • Time Frame

    August 2024 - February 2025

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