Introduction

In 2019, only 53% of rural Nigerian households had reliable clean water access. By 2023—through collaborative systems redesign—we helped 25% more communities gain sustainable solutions. Here’s how evidence-based policy change works at scale.

(Key stat bolded per your “data-driven” brand pillar)

The Challenge
“When the Nigerian Ministry of Water Resources approached Haven Trust Consulting, they faced a paradox: millions invested, yet 47% of rural communities still relied on contaminated sources. Traditional ‘water pump diplomacy’ had failed because:

1. Infrastructure broke down within 18 months (no local maintenance training)

2. Women—the primary water managers—were excluded from planning

3. Climate shifts rendered old data obsolete”

*[Visual: 2-column infographic – “Why Water Projects Fail” (left) vs. “HTC’s Systems View” (right), using HTC Blue (#006BB8) icons.]*

Our Approach
1. Community-First Data Collection
“We deployed mobile tech teams (60% women) to map water needs using:

• Satellite sensors to track groundwater shifts

• Voice surveys in local dialects (Hausa, Yoruba, Igbo)

• Cultural brokers to interpret ‘last mile’ realities”

2. Policy Prototyping
“With real-time data, we co-designed solutions like:

• The ‘Water Guardian’ program (train locals to maintain systems)

• Gender-balanced water committees (required for funding approval)

• Climate-resilient infrastructure standards”

3. Scaling Through Partnerships
“By aligning:

• Government policies (new maintenance funding rules)

• Tech partners (low-cost sensor manufacturers)

• Donors (outcome-based contracts)
…we created a replicable model now expanding to Niger and Cameroon.”

The Results
(Satoshi font for stats per Page 58)

• ↓25% waterborne diseases in target regions

• ↑40% female participation in water governance

• 92% infrastructure functionality at 24-month check

What This Means for Your Work
“For government leaders like [Ahmed Tunde persona], this proves:

• Systemic change requires multidisciplinary coalitions (not siloed projects)

• Data must be localized to drive policy adoption

• Sustainability demands community ownership, not donor dependence”*