Question Engineering (QE) is a structured process for uncovering truth — interrogating assumptions, dismantling bias, and engineering clarity before innovation begins.
Developed by Bright Chinule, Founder of UseCase Labs
ABOUT QE
QE is a cognitive framework for precision thinking — a way to interrogate problems, dismantle assumptions, and design the right question before investing in solutions.
It provides the missing foundation that precedes every design, research, or innovation process — clarity before creation.
In short: QE is not about answers. It engineers clarity.
In short: QE is not about answers. It engineers clarity.
THE FRAMEWORK
Interrogate the Assumption
Challenge the brief
Every brief begins with a hidden belief — something taken for granted. QE exposes those beliefs and tests them against evidence.
1. Question the Question
2.
Expose assumptions
3. Uncover truth
Deconstruct the Complexity
Break down complexity
Problems are often systems disguised as confusion. QE breaks them apart — identifying actors, causes, and contradictions — until only what is true remains.
•
Test the hypothesis
•
Isolate facts, actors, and forces
•
Reveal what is real
Reconstruct the Understanding
Rebuild Understanding
Once clarity is extracted, the validated insights are reassembled into a coherent whole. The noise is removed. The structure of truth is revealed.
1. Connect verified data and patterns
2.
Synthesize findings
3.
Reframe the known
Design the Question
Engineer Clarity
From that structure, QE engineers the question that holds the highest leverage — one that is evidence-aligned, actionable, and capable of transforming the system when answered.
1. Design the most optimal question
2. Engineer direction
3. Support action
Vision of QE
The Vision
To build a world where every discovery, strategy, and innovation is powered by engineered questions — not assumptions.
To make clarity the first step of every process, not the last.
What We Believe
Every innovation failure begins as a question failure.
Assumptions are the enemy of truth.
Evidence is the only basis for clarity.
A good answer is useless if it serves a bad question.
Clarity is not found — it is engineered.
The Promise
Question Engineering gives every researcher, strategist, and leader the means to:
Interrogate what is assumed
Reconstruct what is true
Deconstruct what is complex
Design what Question R&D must answer
QE IN PRACTICE
Case Studies from the Field
Deloitte (TaxPad):
Interrogating a tax brief to help British expats abroad to digitally file taxes, revealed the real barrier — information ambiguity not an infrastructure deficiency.
Oil & Gas Re-entry:
Deconstructing value chains exposed a £1B market gap in tank farms, transforming a stagnant sector strategy into new revenue potential.
Education Services:
Reconstructing the value model through unbundling and repricing created 522% growth in 8 months.
USAID Hackathon
Designing the right question redirected an anti-terror brief toward drug-education access — creating scalable social impact.
Collaborate & Validate
Help Shape the Future of Question Engineering
QE is in its live validation phase. We invite academic researchers, innovation leaders, and corporate R&D teams to join us in exploring, testing, and evolving the methodology.
Academic Research
Peer-reviewed studies and theoretical development
Pilot Projects
Comparative innovation models and testing
Corporate R&D
Sector-based use cases in real-world conditions
Get in Touch
Together, we can test how the right question changes innovation outcomes.