Codini AI for coding survey responses

Overview
Intended purpose
Overview — Codini is an AI-powered coding platform (developed by EvooSurvey) used to analyse open-ended survey responses through thematic coding and sentiment analysis. It applies natural-language processing to identify themes and sentiments, supporting efficient and consistent qualitative analysis.
How it is used — Progressive Partnership uses Codini to analyse anonymised open-ended survey responses collected from the Scottish public as part of a Scottish Government-commissioned study on circular-economy behaviours. Use is limited to Scotland and focused on public attitudes and practices related to the circular economy. It is used only once survey responses have been anonymised and prepared for analysis.
Scope and limitations — Codini supports thematic coding and sentiment analysis to help identify patterns and themes in qualitative data. It does not perform automated decision-making, profiling or predictive modelling, does not generate insights independently, and does not interact directly with data subjects. Its role is limited to assisting researchers in organising and interpreting qualitative data.
Human oversight — Researchers at Progressive Partnership review and refine the AI-generated coding to ensure accuracy, and data is deleted on completion of the project.
Benefits
- Efficiency: significantly reduces the time required to analyse large volumes of open-ended survey responses by automating thematic coding and sentiment analysis.
- Consistency: AI-assisted coding helps ensure consistent categorisation of qualitative data, reducing human error and variability.
- Value for money: by streamlining the analysis process, allows researchers to focus on interpretation and reporting, improving productivity and cost-effectiveness.
- Ease of use: the interactive interface enables researchers to refine coding outputs, making it a practical tool for mixed-methods research.
- Data protection: complies with GDPR, uses encryption-at-rest and secure transmission protocols, and ensures data remains confidential and under the ownership of the contractor.
Use of individuals' personal data
Not using individuals personal data
Decision making using personal data
Does not make decisions using personal data
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Owner and responsibility
- Contact address
- Rob McMorran
- Contact email
- scottishregister@saidot.ai