The methodology is built as a sequential analytical assembly. First, an expert corpus is formed: publications, analytical texts, comments, and observations. Then individual expert lenses are reconstructed — how specialists connect facts, causes, constraints, risks, and consequences. At the next level, an evidence panel for the quarter is created: figures, events, decisions, and external assessments that make the signals verifiable.
Next comes synthesis. Individual observations are assembled into the quarter’s main narratives, compared with one another, and translated into signal nodes. Each node is placed in the matrix and on the radar by economic sector, degree of manifestation, and relation to a possible cascade of changes. Therefore, the radar shows not only a list of problems, but also the structure of their placement within the overall system of tensions.
A separate section of the methodology deals with cascades of systemic vulnerability. They make it possible to see how tension can shift from one contour to another: for example, from export logistics to budget constraints, from credit burden to consumer demand, from energy constraints to investment decisions. This is the transition from a map of current signals to an analysis of possible dynamics.
The infographic shows that TALAP is developing not a one-off analytical product, but a reproducible methodological platform. The first series of materials captures the full cycle of developing this capability: studying global experience, developing its own model, piloting it on Kazakhstan’s economy, and formalizing a methodology that can be scaled for regular monitoring and sectoral analysis.
Downloadable materials
Document 1
TALAP Expert Signal Radar Methodology: From Expert Data to Strategic Decisions
Document 2