Questions before you begin.

You talk to AI-simulated customer profiles that represent different audience perspectives. The profiles are built on selected source material and help you explore possible needs, objections and reactions. Their answers are generated perspectives, not statements from people who have been interviewed.

Profiles need a data foundation. This can be your own customer data or licensed segmentation data, currently Mosaic from InsightOne with 600+ data points per profile. When you use both, your own data is layered on top of the segmentation data. The AI model contributes language and reasoning capabilities, and material attached to a question is used in that conversation.

Start with the audience and the question you want to explore. Customer data, surveys, customer interviews and satisfaction studies can provide a foundation for the profiles. Licensed segmentation data is an option when you lack your own data or want to enrich it. You do not need every layer to be ready. If your customer knowledge is scattered, we help you assess what is enough to get started.

Svava combines audience source material with AI’s ability to put information into context. Information about life circumstances, finances, values and habits gives profiles different starting points when they encounter the same offer. This helps you explore how a message might be perceived, which objections might arise and what different customer groups might prioritise.

You can review both the reasoning and the data points linked to an answer. Ask follow-up questions, try different assumptions and compare with what you already know about your customers. Traceability helps you assess whether the source material supports the interpretation and which assumptions need further investigation. It shows the foundation for the reasoning, but does not prove that real customers would answer in the same way.

Svava helps you bring in more customer perspectives while it is still easy to change direction. You can uncover possible barriers, develop better alternatives and formulate sharper questions for customer interviews or tests. This gives your team a richer foundation for choosing what to take forward and what to confirm.

Svava complements your work with real customers. Use the profiles to explore questions, develop hypotheses and improve material before a study. When you need to measure how common something is or establish how customers actually behave, you need real observations or respondent data.

Profile answers help you compare perspectives and explore differences. They are not a statistically representative sample. If several profiles prefer an option, that reveals a pattern in the simulated conversation, not the share of the market that prefers it.

The agents do not search for new sources on the web during profile conversations. They work with the profiles’ source material, your data and what you supply in the conversation. The AI model’s prior knowledge also contributes to the reasoning. When you review a web page using the Chrome extension, that page is supplied as material to discuss.

You can explore customer needs, test messages and concepts, review web pages and develop ideas with customer profiles. Start with an email draft, an offer or a question about why customers hesitate. The Profile Selector helps you choose perspectives. The In-depth Interviewer, Focus Group Leader and Workshop Facilitator lead interviews, focus groups and workshops. You ask follow-up questions along the way.

Svava brings profiles, source material and working methods into one environment. The agents work with the material supplied and do not search the web during profile conversations. For each answer, you can open a traceability report showing which data points have been linked to it. Four expert agents help you choose perspectives, interview profiles, test material in focus groups and develop ideas in workshops.

Customer data is stored on a dedicated server within the EU. Enterprise LLMs do not train on your data, and nothing is shared between customers. Access is controlled by user, project and app, so your administrators manage who sees what. Read more on the Privacy & data page or contact us for security and contractual documentation.

Bring a real customer question to an initial conversation. We discuss which profiles and source material fit your needs and demonstrate the approach with a concrete example. Pricing and setup are tailored to your organisation’s usage, data layers and needs. Training and follow-up support help you make Svava part of how you work.

Svava is used by marketing, brand, CRM and customer insight teams, but the customer perspective is relevant across the organisation. Service, product development and finance can also explore how customers perceive a touchpoint, an offer or an invoice. The work starts with the team’s question.

For B2B and niche audiences, your own customer data and real interviews can provide more relevant source material than standard profiles. Ciao Nova helps you collect customer knowledge through voice interviews that can be used to build profiles in Svava. We start by assessing which material fits the audience and what needs to be added.