FICTIONAL TRAINING MATERIAL — Naz-Tech AI Academy. All organisations, reports and figures below are invented for practice.

EXTRACT 1 — "Digital Tools and Office Productivity in State Ministries"
Author: Centre for Public Service Innovation (fictional). Year: 2025. Pages: 84.
Objective: Measure whether basic digital tools (email, shared spreadsheets) reduce administrative delays in two state ministries.
Method: Time-and-motion study of 3 departments over 6 months; 140 staff surveyed.
Key findings: (1) Document approval time fell from an average of 9 days to 6 days where shared spreadsheets replaced physical routing slips. (2) 61% of staff reported spending over 5 hours weekly searching for files. (3) No measurable change in decision quality.
Gaps: Did not test AI tools; sample limited to two ministries; no control group.
Relevance: Provides a baseline for "hours spent on routine tasks" before AI adoption.

EXTRACT 2 — "Automation Anxiety: What Nigerian Bank Staff Told Us"
Author: Meridian Policy Lab (fictional). Year: 2026. Pages: 52.
Objective: Understand staff attitudes to automation in the banking sector.
Method: 12 focus groups across 6 banks (n=87); follow-up survey (n=410).
Key findings: (1) 54% believed automation would change their duties within 2 years, but only 12% had received any employer training. (2) Staff who had used an AI tool at work were 3x more likely to describe AI as "helpful" rather than "threatening". (3) Frontline staff wanted training in plain language, not technical courses.
Gaps: Self-reported data only; no objective productivity measures; banking sector only.
Relevance: Supports the claim that exposure plus training shifts attitudes — useful for the adoption section of our brief.

EXTRACT 3 — "Skills for the Next Decade: A Survey of Graduates in Lagos"
Author: Horizon Careers Initiative (fictional). Year: 2024. Pages: 120.
Objective: Identify skill gaps reported by recent graduates and their employers.
Method: Survey of 2,300 graduates and 180 employers; panel interviews.
Key findings: (1) Employers ranked "using digital tools to solve everyday work problems" 2nd of 10 sought skills. (2) 71% of graduates had never used an AI tool for work tasks. (3) Willingness to pay for short, role-specific courses exceeded willingness to pay for general certificates.
Gaps: Lagos-focused; excludes public sector; published before current AI tools became widespread.
Relevance: Market evidence for role-specific training demand, but dated — must be supplemented with current data.