Prediction

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Turn today’s evidence into a forward-looking understanding you can own with confidence.

Built with research expertise and supported by responsible AI, our predictive approaches help clarify where patient and provider behaviors may be heading, so teams can navigate complexity and make more confident strategic decisions.

How it works?

Develop Digital Profiles

KJT builds representative audience profiles using responsibly sourced data, informed by therapeutic context and real-world evidence.

Validate

KJT experts apply a multi-step validation process to ensure outputs reflect real-world perceptions and can be relied on for strategic forecasting and scenario planning.

Query

Explore questions, pulse checks, or simulated scenarios to understand how audiences are likely to respond before decisions are made.

When to use?

Niche Audiences

A cost-effective way to generate ongoing insight from hard-to-reach groups such as rare disease patients, specialists, or geographically dispersed providers, when traditional research is constrained.

Innovation Assessments

Explore hypotheses, new ideas, or emerging concepts to inform go/no-go decisions before investing in larger research programs.

Scenario Testing

Evaluate how patients, providers, or stakeholders may respond to evolving market, clinical or communication scenarios before strategies are finalized.

Sensitive Topics

Understand likely reactions to questions or situations that may be too sensitive, complex or impractical to explore directly, while maintaining rigor and care.

Small Scope

Quickly pulse audiences when a full traditional study isn’t required – ideal for directional insight or time-sensitive decision support

Ready to move forward with confidence in what’s ahead?

Use expert-led predictions to guide clearer, more confident decisions.

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Case Study

Are Digital Twins Just Virtual or a Reality for Life Science Insights?

The rapid evolution of large language models (LLMs) has made simulated data models like digital twins increasingly compelling for market research. These AI-driven solutions promise faster, scalable, and more precise insights. However, their success hinges on addressing critical challenges such as biases, privacy risks, and data drift. Sparq Intelligence embarked on a mission to explore the potential of digital twins to revolutionize healthcare insights, starting with physician perspectives on gene therapies.

The Challenge

Reaching niche physician audiences with traditional research methods was too slow and costly to deliver insights before critical decisions were needed.

Approach

  • Conducted a survey with 200 U.S. physicians to explore perceptions of gene therapies
  • Trained AI-powered models to simulate the thought processes, behaviors, and attitudes of these physicians
  • Compared AI digital twins’ outputs against human responses to validate the model
  • Leveraged trained digital twins to test additional scenarios without needing to restart new research

Outcomes

  • Digital twins’ responses aligned closely with human counterparts’ data
  • Reduced research timelines to deliver insights in days
  • Lowered costs significantly compared to traditional market research methods
  • Enabled the study of hard-to-reach audiences including specialists
  • Provided a scalable framework for future research needs
Read the full Case Study

Accreditation

Speed and accuracy are critical: decision-makers are often tasked to do more, with less. Decisions may be made without enough insight to guide strategy.

Let’s Take Research Further. Together.