WomenHub Academy and HarakaFoods

AI product delivery, workflow automation and women's tech leadership in East Africa

Organisation: WomenHub Academy (CEO & Co-Founder)
Role: Chief Executive Officer and Co-Founder, Product Owner
Scope: East Africa, AI-powered products

<1 minExecution
230M tons/yrFood Waste
GPT-4AI-Powered
N8NAutomation

Overview

WomenHub Academy builds AI powered digital products while developing the next generation of women product leaders. HarakaFoods is the flagship product: an automated marketplace for near expiry food that matches surplus with subscribers through AI generated notifications.

The Problem

Surplus near expiry stock is discarded while price sensitive households go unserved. The venture had to prove the model quickly with a small team, which called for iterative delivery and measurement rather than a fixed multi stage plan.

My Role & Delivery Leadership

Product owner and delivery lead. Set the outcome based roadmap, maintained and prioritised the backlog, ran the sprint cadence, and owned release decisions and the measurement of adoption and execution performance.

Delivery Approach

Iterative product delivery with continuous user feedback

Product Discovery

Continuous discovery with users and merchants, opportunity solution mapping

→ Validated problem set, product vision

Backlog and Roadmap

Outcome-based roadmap, prioritised backlog with clear acceptance criteria

→ Roadmap, refined backlog

Sprint Delivery

Two week sprints, daily stand-ups, sprint review and retrospective

→ Working increment each sprint

Automation and Integration

AI and workflow automation built and tested incrementally against live scenarios

→ Automated pipelines, execution metrics

Release and Measure

Incremental releases with instrumentation, adoption and performance measured per release

→ Release notes, product analytics

Iterate

Retrospective-driven improvement and backlog reprioritisation against measured outcomes

→ Updated backlog, improvement actions

Key Challenges & Solutions

Ensuring output accuracy for food safety information

Constrained prompt structure with four fixed parameters, verified each sprint against defined acceptance criteria.

Reaching food insecure communities

Channel agnostic delivery with a prioritised backlog item for messaging channels in markets with low email penetration.

Outcomes & Impact

Sub one minute automated execution: Complete workflow from trigger to personalised delivery in under 60 seconds.
Personalisation at scale: Each subscriber receives tailored notifications based on preferences and budget.
Women's tech leadership pipeline: The academy trains women in AI product delivery from concept to deployment.

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