Producing a reading of the balance of power that is as precise as possible — and as honest as necessary about its margins of uncertainty.
Candidates, parties, institutions and organisations seeking a detailed understanding of an electoral environment.
Throughout the electoral cycle: upstream to inform strategy, during the campaign to track dynamics.
Electoral atlas, modelling notes with intervals, seat allocation simulations.
Public debate consumes electoral figures without always questioning how they are produced: a single poll is discussed as if it were the truth, a national average hides opposite territorial realities, a share of the vote is confused with a distribution of seats.
Electoral intelligence draws on electoral sociology — from the founding work on social cleavages to contemporary analysis of turnout — and on applied statistics. It helps distinguish what stems from the deep dispositions of the electorate, from the short-term context and from the institutional effects of the electoral system.
Our standard is twofold: to produce the finest analysis the available data allows, and to report its degree of uncertainty systematically. An honest interval is more useful for decision-making than a misleading single figure.
Four complementary fields of analysis, used according to the question at hand.
Aggregation of polls weighted by methodological quality, reported as confidence intervals.
Rural/urban, generational, regional and social divides that shape preferences, studied at aggregate level.
Mapping turnout gaps between areas and groups, and analysing what drives them.
Mechanical and psychological effects of the voting system and boundaries on converting votes into seats.
Spatial reading of results and identification of territorial continuities and breaks.
Dashboards showing how voting intentions and perceptions evolve over the campaign.
A rigorous process, documented at every stage to ensure results are traceable.
Gathering official results, demographic data and available surveys.
Consistency checks, harmonisation of boundaries and assessment of sources.
Applying suitable models, making assumptions explicit and calculating uncertainty.
Maps, notes and tables designed for decision-making, with a reading of their limits.
Every tool we use is documented: its sources, assumptions and limitations are known to our clients.
Combining several surveys according to size, recency and methodological quality.
Relating results by area to their socio-demographic characteristics, while accounting for the limits of inference.
Applying the rules of the electoral system to different result scenarios.
Spatial representation of results and deviations from the average.
Measuring how conclusions change when assumptions change.
Every indicator is labelled by status — target, calculated estimate or measured result — in line with our principles of rigour
| Indicator | What it shows | Status |
|---|---|---|
| Aggregated voting intentions | The plausible range of the balance of power at a given date. | Calculated estimate |
| Expected turnout | The likely level of turnout by area. | Calculated estimate |
| Historical results | Official, sourced results of previous elections. | Measured result |
| Projected seats | Translating a vote scenario into seats under the electoral system. | Calculated estimate |
Producing electoral figures carries a particular responsibility towards public debate.
No estimate is presented without its method, sources and margin of uncertainty.
We do not publish projections intended to sway opinion or discourage turnout.
We observe national provisions governing the conduct and publication of surveys.
Cleavages are studied at the level of areas and groups, never through profiling of individuals.
An honest interval is worth more than a precise but wrong figure.AXIOME working principle
Illustrative situations: they do not describe actual engagements.
A party wants to understand how its potential scores would translate into seats across constituencies.
Political actors want to understand where and why abstention is rising.
Surveys with diverging results call for an aggregated and critical reading.
Depending on the engagement, we design surveys carried out by partner institutes or work with existing data. In every case, the methodology is documented and assessed.
Because every estimate carries uncertainty. A single figure creates an illusion of precision that leads to poor decisions.
We say so clearly, widen the margins of uncertainty and complement quantitative analysis with qualitative field research.
Every political context is unique. A first, strictly confidential conversation allows us to understand what is at stake and define the most relevant support.