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title: "DiGA Positioning for Health Insurance Product Managers | Minds"
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June 10, 2026·Use-case·Minds Team

# **DiGA Positioning for Health Insurance Product Managers**

Validate the positioning of digital health applications for statutory health insurers with Minds. 100% GDPR-compliant, precise, and in under an hour.

[Request Pricing and Demo](https://getminds.ai/?register=true)

With Minds, product managers at German health insurance companies validate the positioning of new digital health applications (DiGAs) and services in less than an hour. The platform delivers an average accuracy of 85-95% agreement with traditional panels, and up to 100% for specific questions. This allows you to optimize your communication strategy for policyholders in Berlin, Hamburg, or München completely without data privacy risks.

## The job to be done

Product managers at statutory and private health insurance companies in Germany are under constant pressure to innovate. Integrating new digital health applications (DiGAs) into the service portfolio is strategically crucial to differentiate from competitors and keep supplementary contributions stable. The core challenge lies in positioning these often complex digital services in a way that they are actually accepted and used by the respective policyholder groups. A product manager must precisely understand which messages build trust among the chronically ill, young families, or older policyholders, and which barriers prevent usage. Wrong decisions in positioning lead to unused licenses, wasted marketing budgets, and a loss of trust among policyholders as well as prescribing physicians. Before the official rollout, the board and the marketing department demand reliable data proving that the chosen messaging reaches the target group and maximizes the adoption rate.

## What today's workflow looks like (and where it breaks)

The current process for validating positioning is lengthy, expensive, and often inefficient. Product managers commission traditional market research agencies to conduct focus groups, online surveys, or physical panels. This traditional research stack typically requires four to eight weeks for recruitment, execution, and analysis. Especially in the healthcare sector, recruiting patients with specific indications is extremely difficult and associated with high costs. In addition, the strict requirements of the GDPR heavily restrict the collection and use of patient data, leading to bureaucratic delays. For regulatory reasons, A/B testing on internal platforms is often not possible before the official launch. In the end, many decisions are based on incomplete data, small sample sizes, or the creative agency's gut feeling. By the time the results of traditional market research are available, the launch window is often almost closed, and valuable time in the market has been wasted.

## The Minds workflow

Minds revolutionizes this process through a structured, three-stage simulation infrastructure specifically tailored to the needs of product managers in healthcare. The entire workflow runs in a few, clearly defined steps:

1. Data Anchoring (Level 01): The process begins with grounding the model. You feed existing, anonymized data such as statutory health insurance (GKV) statistics, general policyholder surveys, or existing market studies into the platform. No personas are created based on pure assumptions.
2. Target Audience Modeling (Level 02): You define the desired policyholder segments. Minds uses established demographic and psychographic models as well as in-depth consumer behavior to map target groups precisely. You can filter segments by age, region, health consciousness, or specific indication areas.
3. Input of Positioning Hypotheses: You upload your planned claims, value propositions, app screenshots, or drafts for the agency briefing into the platform. You can compare different text variants and chains of argument directly with each other.
4. Execution of the Simulation: Minds starts the simulation and generates up to 10,000+ responses per run. The virtual policyholders react to your positioning drafts and provide detailed feedback on clarity, relevance, and trustworthiness.
5. Objection Mapping: The platform systematically analyzes the concerns raised. You immediately see whether worries regarding data privacy, usability, or medical benefit are blocking the adoption of the DiGA.
6. Validation (Level 03): The simulation results are continuously benchmarked against real-world data and established reference benchmarks. This includes data from the Statistisches Bundesamt, Eurostat, and other official national statistical offices to guarantee maximum validity.
7. Export and Optimization: Within less than an hour, you receive a comprehensive report. You export the data-driven insights directly to adjust the final agency briefing or defend the positioning in the internal steering committee.

## Sample output

A concrete example demonstrates the value of this method: A product manager at a large statutory health insurance company wanted to position a new DiGA to support tinnitus patients. Using Minds, two different positioning approaches were tested on a simulated target audience of 5,000 policyholders aged 40 to 65. Approach A focused on scientific evidence and clinical studies, while Approach B emphasized easy integration into daily life and rapid symptom relief. The simulation showed a clear preference for Approach B among the older target group, as the clinical terminology in Approach A was perceived as too sterile and distant. At the same time, objection mapping revealed that 42 percent of simulated users had concerns regarding compatibility with older smartphone models. The product manager was able to add these technical clarifications to the landing page and FAQ section before the official launch, which significantly increased the subsequent conversion rate.

## Why this beats the alternative

Minds offers decisive advantages over traditional methods. The platform uses structured consumer health behavior models to precisely predict adoption rates of digital health services while remaining 100% GDPR-compliant. Since no real patients need to be recruited or surveyed, sensitive data privacy reviews and the associated legal risks are completely eliminated. The cost of simulations is a fraction of the expense of a traditional panel, as there are no recruitment costs per participant. In addition, the waiting time is reduced from several weeks to less than an hour.

It is important to emphasize what Minds cannot be used for: The platform is not intended for clinical or regulatory studies, does not replace representative price elasticity research, and is not used for political polling. However, for the fast, precise, and privacy-compliant validation of marketing positioning and communication concepts, it is the most advanced solution on the market.

## Next step

Use data-driven certainty instead of gut feeling for your next product launch. Validate your communication concepts and DiGA positionings with Minds before spending valuable budget on campaigns or physical panels. Learn more about our flexible usage models and how you can integrate the platform directly into your workflow without any implementation effort. Visit getminds.ai for more information on our pricing and start your first target audience simulation today.

Learn more about our flexible usage models at [getminds.ai](https://getminds.ai/?register=true) and start your first simulation.