public audience pilot
rapid initial exploration of a research challenge using available public data and ai audience models
initial hypotheses, working segments and a plan for further validation
test hypotheses and ideas quickly through interviews with ai user twins built from real user decisions
discuss your project ↗luna ai lab combines ai, data analysis and user research, turning existing audience knowledge into a foundation for new research scenarios
interviews, surveys, customer feedback and available data are brought together in a research base
an organized base of source materials and references
audience segmentation, conversion barriers, concept testing, retention and messaging research in practical research scenarios
interviews, crm and customer data
building segment models and comparing their needs
segment profiles and a motivation map
from a short pilot to continuous audience research, the format depends on the research question and available customer data
rapid initial exploration of a research challenge using available public data and ai audience models
initial hypotheses, working segments and a plan for further validation
research based on existing interviews, surveys, crm records, customer feedback and other information from real users
audience segmentation, digital audience models and recommendations for product teams
ai models are complemented by new interviews and validation of key hypotheses with real users
validated and unvalidated hypotheses, a research report and prioritized next steps
regular updates to audience models based on new reviews, support requests, research and changes in customer needs
an evolving knowledge base, new customer signals and recommendations for follow-up research
prices are indicative and depend on the research scope, available data and workload
send a message to discuss your project and find the right research format
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