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Good practice Imported

SQAO AI Support Tool — WhatsApp RAG Assistant for Sierra Leone's School Quality Assurance Officers

Sierra Leone · Waterloo · See the Sierra Leone profile · See the Waterloo profile

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MBSSE and Fab Inc built a WhatsApp RAG chatbot giving Sierra Leone's school inspectors (SQAOs) instant access to census data and policy guidance on visits. A 4-week pilot with 5 officers showed strong engagement, and the report also candidly names an assignment-list glitch.

Details

Promoter
MBSSE & Fab Inc (SSEIP II 'Leh Wi Lan')
Period
2026 (four-week pilot, Western Area Rural)
Keywords
education administration, school supervision, government data systems

Description

Sierra Leone's Ministry of Basic and Senior Secondary Education (MBSSE), through the FCDO-funded Secondary Education Improvement Programme II ('Leh Wi Lan'), commissioned implementing partner Fab Inc to build a WhatsApp-based, retrieval-augmented-generation (RAG) chatbot for School Quality Assurance Officers (SQAOs) — the field inspectors who visit schools to review teaching and management.

The tool gives officers on-demand access to Annual School Census data (enrolment, facilities, teacher counts) and retrieves guidance from MBSSE's policy library, so officers can ground recommendations in national standards during visits rather than relying on memory or paper records.

A four-week user-feedback pilot with five SQAOs (three men, two women) in Western Area Rural district ran weekly two-hour focus groups after an initial four-hour training. All five officers maintained full attendance and, by the end of the pilot, were submitting an average of six queries each. Officers confirmed retrieved census figures matched their own paper records and used the chatbot's policy-grounded advice on topics ranging from school management to gender-based-violence protocols.

The pilot also surfaced a genuine limitation: a Week 1 mismatch between two different school-to-SQAO assignment lists blocked several officers from seeing their own schools' data until developers temporarily widened access. The report treats this as an unresolved dependency on a separate SQAO management system rather than glossing over it. Findings are feeding into a Phase 2 pilot with a wider officer cohort, with national scale-up contingent on that phase's results.

Read the full analysis: https://mbsseknowledgeplatform.gov.sl/wp-content/uploads/2026/03/Report-on-SQAO-AI-tool.pdf

Implementation

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