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Practice 04
When an operator needs to know what their stakeholders or target market actually think of them, that is our work. We run the full research cycle — design, fieldwork, analysis, reporting and stakeholder presentation — so trends are statistically testable, not anecdotal.
What We Deliver
Our specialism: public or customer perception measurement, product performance and social licence measurement — with a machine-learning edge no traditional research house offers.

Multilingual instruments, local enumerator fieldwork, 15%+ back-check quality regimes and ethics-cleared protocols — measuring trust and social licence where it actually lives.

Rigorous testing of what actually changes behaviour, satisfaction and trust — brand performance, user satisfaction and programme impact, evaluated with experimental method.

Thematic and sentiment analysis of thousands of open-ended responses — including community voice in African languages — validated by human researchers, never left to the machine alone.
Wave-on-wave comparability built in from the start, so year-three results answer the question year one asked — and trends are defensible in front of a board or regulator.
Customer and stakeholder perception studies for enterprises and public entities — who trusts you, who doesn't, and precisely what would change their minds.
Evidence for policy and planning: workforce impact studies, curriculum evaluations, LED strategies and sector plans grounded in primary data.
How a Study Runs
a study is only finished when someone acts on it
"We build on internationally validated frameworks — CSIRO trust-driver modelling, the Boutilier–Thomson social licence scale, IFC Performance Standard 1, Vanclay social impact dimensions, ICMM community relations practice — and add what sets IALE apart: machine-learning analysis of community voice in African languages."
Proof
An in-depth study for the National Union of Mineworkers on how AI and automation will affect jobs, skills and livelihoods — evidence that now informs collective bargaining and workforce transition planning.
NUM · 2022Lead evaluation of the School Coding and Robotics curriculum for the Department of Basic Education — shaping how digital and AI skills are taught in South African schools.
DBE · 2021An analytics platform designed for community trust reporting — perception data, sentiment and service issues from the ground, visible to trustees in real time.
Community Development TrustsA full organisational readiness study achieving a 100% staff response rate — the evidence base for SATRI's AI transformation strategy and phased adoption roadmap.
SATRI · 2025A 345+ page research manuscript across 40+ African institutions — 22 chapters on Ubuntu AI ethics, governance, faculty readiness and implementation playbooks.
Thought Leadership · 2025–2026Multi-year, evidence-based sector planning for the Frances Baard District — housing delivery and spatial development grounded in the district's demographic realities.
Frances Baard District · 2023–2025Next Step
If the honest answer is "we're not sure," that is a measurable problem. We will design the study, field it, and put the answer — and the action plan — in front of your board.
Commission a Study →