Spica Dashboard

Your Study, Fully Under Control

Each study in Spica is managed through a dedicated dashboard that provides a complete overview of progress, participation, and data quality—across pilot, clinical, or large-scale research projects.

Create a Study

Set up a new study in minutes by defining its name, description, start and end dates, and participant capacity. Each study is fully isolated with its own data namespace, role assignments, and protocol configuration.

Once created, the study workspace becomes the central hub for all downstream configuration—devices, tasks, EMA schedules, and notification rules are all managed from within the study context.

Standard Mode Workflow

Standard Mode is designed for routine clinical data collection where simplicity and adherence are the priority. Participants follow a pre-defined daily routine driven by automated schedules configured by the research coordinator.

The workflow covers automated data capture, scheduled surveys, clinician notifications, and participant reward milestones—all requiring minimal manual intervention once the study is live.

Research Mode Workflow

Research Mode unlocks the full configurability of the Spica platform for advanced experimental designs. Researchers can define custom task paradigms, adaptive EMA schedules, and fine-grained sensor channel selections per participant or group.

The workflow supports multi-phase study structures, counterbalanced conditions, and real-time event-triggered protocols—giving your team full control over every aspect of the data collection pipeline.

Study Overview

Gain a high-level view of all active studies with real-time enrollment, session completion, and data quality metrics.

Track study-level KPIs including total participants, active sessions, completion rates, and data completeness—all in one dashboard.

Participants

Monitor individual participant details, session history, and adherence status from a single view. The participants table supports filtering, sorting, and bulk actions for large cohorts.

Drill into any participant profile to review their session timeline, sensor data quality, completed assessments, and reward history—enabling targeted follow-up without leaving the dashboard.

Notifications

Keep your team informed with configurable alerts for missed sessions, anomalous readings, and participant-reported events. Notification rules can be scoped per study, per participant group, or per individual.

Clinicians receive alerts through the dashboard and optionally via push or email, with full delivery logs available for audit and compliance reporting.

Task Assignments

Assign cognitive, behavioral, and physiological tasks to individual participants or entire cohorts directly from the dashboard. Task schedules can be fixed, randomized, or triggered by events captured from wearable sensors.

Completion status and response quality are tracked in real time, with automatic escalation when a participant falls behind schedule—ensuring data integrity across the full study timeline.

Export Data

Export structured datasets in formats compatible with MATLAB, Python, R, and CSV pipelines. Each export preserves full metadata—timestamps, participant IDs, session labels, and device identifiers—for immediate use in downstream analysis.

Scheduled exports and API-based data pushes are available for teams running automated pipelines, eliminating manual download steps in continuous or longitudinal study designs.