Our analytical work is grounded in a methodology designed to generate insights that are scientifically defensible and directly useful to decision-makers. The goal is not methodological elegance for its own sake — it is evidence that actually changes decisions. The commitments below shape every engagement we accept.
These commitments are not a marketing exercise. They are operational choices embedded in how we scope engagements, assemble teams, design field work, and decide what we will and will not deliver.
We combine quantitative and qualitative techniques systematically across all analytical engagements. Quantitative data provides structure, scale, and comparability; qualitative methods generate the depth, nuance, and contextual understanding that numbers alone cannot capture.
The result is analysis that is both defensible and rich — credible to sceptical institutional audiences while accessible to practitioners working in complex realities.
No complex social phenomenon in North Africa — not radicalisation, not governance failure, not youth unemployment — is legible through a single disciplinary lens. We apply perspectives from political science, economics, sociology, security studies, anthropology, and development practice as the analytical task requires.
This is systematised, not ad hoc: multi-disciplinary integration is built into how teams are assembled and how questions are framed from the outset.
We prioritise primary data collection — key informant interviews, focus groups, direct observation, field surveys — over secondary source synthesis. The commitment to field research is what distinguishes our analysis from desk-based products.
It is also our most important source of differentiation: the relationships, contextual understanding, and direct access to affected communities and institutions that primary research generates cannot be replicated from a distance.
All analytical outputs are subjected to systematic evidence triangulation: conclusions are cross-validated against multiple data sources, methods, and perspectives to reduce bias and strengthen reliability.
We also operate a structured internal peer review process for all major outputs, with senior technical review of analytical frameworks, methodological choices, and draft conclusions before finalisation.
We integrate conflict sensitivity and Do No Harm principles as methodological requirements, not optional add-ons. Before any research engagement in conflict-affected or politically sensitive contexts, a structured risk analysis examines how the research process and its findings might affect the communities and institutions involved.
Informed consent, data protection, researcher safety protocols, and responsible dissemination planning are embedded in every research design.
We treat each engagement as a learning opportunity. Analytical tools, frameworks, and methodological approaches are refined based on findings from previous work. An internal learning log captures methodological challenges, contextual surprises, and lessons for future research design.
Knowledge accumulates institutionally, not just individually.
Most engagements follow a four-phase structure. Duration and depth vary; the underlying logic does not. The first phase always begins with listening — even when the client believes the question is already clear.
Quality assurance is not a final review step — it is embedded throughout our analytical process. Five operational mechanisms ensure that our outputs meet institutional standards before they reach our clients.
Our research operates in environments where decisions carry significant institutional, political, and social consequences. The commitments below shape how we select engagements, conduct analysis, and communicate findings — not in principle, but in operational practice.
We do not allow funding relationships, political pressure, or partnership obligations to distort our findings. No analytical output is released under our name unless we have full control over methodology, analysis, and conclusions. We reserve the right to decline or terminate engagements where client pressure compromises analytical integrity.
Do No Harm principles are integrated into all research designs as methodological requirements, not symbolic statements. We assess how the research process and its findings might affect the communities and institutions involved — before fieldwork begins, not after publication.
Data protection is treated as an ethical obligation, not regulatory compliance. We apply data minimisation, secure storage with access controls, anonymisation of sensitive information, clear retention and destruction timelines, and explicit confidentiality provisions in every contract.
Given the small size of the North African policy community, real and apparent conflicts of interest require proactive management. We disclose potential conflicts when they arise and decline simultaneous analytical and implementation roles in the same programme without explicit client consent.
Findings are framed accurately, with full acknowledgement of limitations, caveats, and contextual nuance. We do not publish work that we judge could create disproportionate harm to research subjects or research partners, even when contractually permitted to do so.
We invest in long-term relationships and cumulative knowledge rather than transactional engagements. Our reputation depends on the institutions and communities that work with us over years, not the deliverables we produce over weeks.
Tell us what you are working on. We respond personally to every serious inquiry within two business days.
Engage Complexia →