Events and sponsorship
From raw survey data to a verified report
Hundreds of event surveys a year turned into reliable reports, with every figure and quote traceable to its source.
The problem
An organiser runs hundreds of participant surveys a year. Producing each report is expensive manual work, and questionnaires drift apart, so results are hard to compare between editions.
Errors slip through: totals that don't add up, or the same question reported with different bases. Thousands of open answers go largely unused, even though they hold the most useful feedback for operations and sponsors.
The journey
Questionnaire from a bank
Your teamThe team builds on reusable questions and sponsor modules, with a warning when a change breaks comparability.
Data comes in
Your systemsResults are imported from the survey tool and the raw data is preserved unchanged.
Quality is checked
NovaCounts, question bases and logic are reconciled, and each issue gets a severity.
KPIs are calculated
Your systemsNPS, satisfaction and sponsor awareness are calculated by fixed rules, not generated by a model.
Open answers are analysed
NovaThemes, locations and suggestions are grouped, with a reference to each source answer.
An analyst signs off
Your teamThe analyst reviews the draft report, overrides where needed and releases it.
Nova's solution direction
Calculations and AI kept apart
Figures come from deterministic rules. AI handles language and structure, and always cites its sources.
Quality in every report
Each export includes a quality report, and open issues must be resolved before release.
Privacy by design
Contact and incentive data are separated from the analysis, and personal details are removed before quotes are used.
Start with what exists
The current survey tool can stay. Replacing it is a separate decision, made on the numbers.
Anonymised use case, based on a real brief in our studio. Names and identifying details have been left out. It describes a solution direction, not a measured result.
