What We Build
How to Build a Decision-Support Platform.
A decision-support platform is an interactive system that helps users evaluate options and make complex decisions using structured inputs and guided outputs. Decision-support platforms help users navigate complex choices by turning structured inputs into clear, actionable outputs. We design and build these systems for healthcare, privacy, and performance applications where users need confidence in what to do next.
These platforms are most effective when decisions involve multiple variables, tradeoffs, or uncertainty, and when users benefit from guided, step-by-step experiences rather than static information.
What is a decision-support platform?
Decision-support platforms are designed to:
- compare options based on their inputs
- understand tradeoffs and implications
- receive guidance tailored to their situation
- move toward a clear outcome
Unlike content-driven websites, these systems are interactive. The value comes from how information is structured and delivered, not just what is presented.
When This Approach Works
This approach is a good fit when:
- users are making complex or high-stakes decisions
- there are multiple inputs that affect the outcome
- the right answer depends on user-specific data
- clarity and confidence matter as much as accuracy
Common applications include:
- healthcare plan selection
- diagnostic interpretation
- compliance and risk evaluation
- performance and development tracking
The Challenge
Most systems either present too much raw information or oversimplify decisions that require nuance. This often leads to confusion, lack of trust in the results, and poor outcomes.
The structure of the experience becomes just as important as the data behind it.
Our Approach
We design decision-support platforms around three core principles:
Structured Inputs
We define what information is needed and design ways to capture it without overwhelming users.
Clear Outputs
We translate inputs into meaningful results, such as comparisons, rankings, and recommendations.
Guided Experience
We design step-by-step flows that help users move forward with confidence, rather than leaving them to interpret results on their own.
Case Studies
Each of the following projects is a decision-support platform designed to guide users through complex inputs and outcomes.
Before the Field
A mobile platform that helps athletes work through guided exercises, track progress, and build performance profiles that support development and recruiting.
Uh-Oh Labs
A medical testing application that supports users in understanding diagnostic results and determining next steps based on structured inputs.
Medicare Shopper
A platform that helps users compare Medicare plans based on their needs, preferences, and coverage requirements.
Common Sense Privacy
A dashboard that helps organizations evaluate privacy practices, identify risks, and take action through guided recommendations.
SparkEatz
A platform that helps users evaluate food options and make choices based on preferences, constraints, and available data.
Our work spans healthcare, privacy, performance, and consumer applications.
Typical Features
Decision-support platforms often include:
- guided workflows
- dynamic forms and inputs
- comparison and filtering tools
- scoring or ranking systems
- personalized outputs
- reporting and progress tracking
Ballpark Complexity
These systems vary depending on logic, data, and integrations:
- Simple tools: $25K–$50K
- Moderate platforms: $50K–$150K
- Complex systems: $150K+
When to Use This Approach
A decision-support platform may not be the right fit if:
- users only need static information
- decisions are simple or obvious
- there is no meaningful data to guide outcomes
In those cases, a content-driven or marketing-focused approach is often more effective.
Get Started
If your product requires users to make complex decisions, the way those decisions are structured and presented has a direct impact on outcomes. We design and build systems that help users move forward with clarity and confidence.
Have a decision-support product in mind? Let’s talk through it.