Research Project Oct + Nov - volunteers wanted (6-8 weeks, 10+ hrs/wk): Validate the Paavis Trust Score

Company Description Paavis helps businesses understand and quantify the value of customer trust. By connecting trust signals to customer intent, conversion, and revenue, Paavis provides leaders with actionable intelligence to strengthen customer relationships. The organization focuses on making trust measurable so that it can be managed and improved over time. Paavis works with forward-thinking businesses that want to base decisions on real, trust-centered insights. This approach supports more sustainable growth and better decision-making across teams.
Role Description This is a volunteer role for a 6–8 week research project (October and November), with an expected commitment of at least 10 hours per week. The role is hybrid, based in Copenhagen, with the option to perform part of the work from home. Day-to-day tasks include helping to validate the Paavis Trust Score by collecting and organizing data, reviewing trust-related signals, and supporting the design and refinement of validation methods. Volunteers may assist with creating surveys or interview guides, analyzing responses, and documenting findings in a clear and structured way. Collaboration with Paavis team members to discuss results, propose improvements, and ensure the Trust Score reflects real-world customer behavior will be a key part of this role.
Qualifications

• Ability to conduct structured research, including gathering data, reviewing sources, and summarizing insights.
• Strong analytical and critical-thinking skills, with comfort working with qualitative and basic quantitative information.
• Clear written and verbal communication skills in English; ability to present findings in a concise, organized manner.
• Interest in customer behavior, trust, and decision-making in business contexts; curiosity about metrics and measurement.
• Ability to collaborate in a hybrid environment in Copenhagen, manage time independently, and meet weekly commitments.
• Background or studies in business, social sciences, psychology, data, or a related field are beneficial but not required.
• Experience with simple data tools (e.g., spreadsheets, survey platforms) and basic documentation practices is an advantage.