A survey and feedback management platform connecting survey design, distribution, response analysis and follow-up in one workspace.
Discuss your projectSurveyLuma gives organizations a connected way to collect feedback and act on it. Teams can manage versioned surveys, organize participants, track invitations, explore responses and coordinate follow-up across locations. A shared overview brings response trends and outstanding work together, while detailed records retain the context behind each answer.
SpartanBots designed and built the complete SurveyLuma product, from its React.js and TypeScript frontend and survey workflows to the Node.js backend with Fastify, with PostgreSQL and Supabase supporting the database layer. Our delivery connected survey administration, participant imports, invitations, response management, reporting and follow-up with the operational controls needed to run the platform.
A useful survey platform does more than collect answers. Organizations need to manage which survey is used, who is invited, which records should count and what happens when feedback needs a response. SurveyLuma brings those responsibilities into one workspace. The reviewed implementation demonstrates these workflows in a multi-location customer-experience setting, while the platform connects survey administration, analysis and follow-up as a broader product.
Feedback can become fragmented when survey design, participant lists, delivery records, reporting and follow-up live in separate tools. The product needed to connect that journey without losing the context of each response. It also needed clear handling for duplicate records, missing information, unmatched submissions and feedback awaiting review, so an attractive dashboard would be supported by usable operational records.
The application features, engineering work and user workflows behind the project.
The survey library supports creating, editing, publishing and assigning surveys. Published versions stay unchanged, while assignments apply to future invitations. That makes questionnaire changes a visible part of the workflow instead of silently changing the meaning of existing responses.
Imports preview eligibility and duplicates before records are committed. Missing contact information and incomplete dates remain visible, and repeat imports reuse existing visits. Invitation views then show whether a record is eligible, held or already handled.
The response workspace brings email, public-link, paper-entry and historical responses into a common view. Teams can search records, filter by source and location, review individual answers and export CSV data. Unmatched and duplicate submissions are excluded from the displayed aggregate ratings.
Overview dashboards pair response trends with pending actions. Feedback requiring attention moves into a review queue before outreach is approved. Follow-up records carry case notes, closure requests and resolution status, connecting the customer response to the work it creates.
Location settings, survey assignments, suppression actions, delivery review and activity history support the people running the platform. The operational workspace makes incomplete records and waiting work visible rather than treating them as hidden exceptions.
SpartanBots delivered the complete application with React.js and TypeScript for the frontend, Node.js with Fastify for the backend, and PostgreSQL and Supabase for the database layer. The interface connects to the backend through APIs, with related survey, participant, invitation, response and follow-up records supporting the workflow. Published survey versions and explicit review states give users context for decisions across the product. The reviewed sandbox uses synthetic records and illustrative scoring, so its screenshots demonstrate the interface rather than production volume or business results.
SurveyLuma supports a complete feedback workflow: prepare a survey, manage distribution, understand the responses and coordinate the next action. Teams can move from a high-level trend to the underlying record, then into a review or follow-up process. The practical value is a connected workspace with visible states and responsibilities, rather than a survey that ends when an answer is submitted.
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