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Behavior programs, trial data, and the FBA loop in one workspace.

This guide walks you through the surfaces a BCBA sees in Osprey: your discipline dashboard, a learner's behavior goals (following Sofia Reyes through the demo data), goal detail with methodology, DTT trial-by-trial data collection, interval recording, and ABA-specific metrics. Open the demo, follow along, and see how programming, data collection, and analysis connect without spreadsheets.

Key surfaces you'll explore.

Discipline Dashboard

Your ABA caseload: goal progress trends, attention items for learners whose programs may be stalling, and a quick view of who needs supervision follow-up.

Learner Journey (Sofia Reyes)

Tap Sofia Reyes to see her behavior goals, mastery percentages, and status indicators. Sofia is a fictional Pre-K learner in the demo data who threads through this guide.

Goal detail with methodology

Open a behavior goal to see the full text, recording methodology (e.g., partial-interval recording), mastery criteria, progress chart, and current performance vs. target.

DTT and interval recording

Two types of live ABA data collection: discrete trial training with correct/incorrect/prompted buttons, and interval observation with timed intervals and behavior occurrence marking.

Step-by-step walkthrough.

1. Select the BCBA role

After the splash screen, tap the BCBA card in the role picker to enter the demo with the behavior analysis workflow.

Osprey role picker showing the BCBA card highlighted among the available professional roles.
  1. BCBA card in the role picker

2. Review your Discipline Dashboard

The dashboard loads with your ABA caseload, goal progress trends across all learners, and attention items for programs that may need adjustment. Each learner card shows their discipline tags and overall status.

ABA discipline dashboard showing goal progress trends across the BCBA caseload, attention items for learners whose programs need review, and learner cards with ABA-specific labels.
  1. Goal progress trend across your ABA caseload
  2. Attention items for learners needing review
  3. ABA-specific learner cards with status indicators

3. Open Sofia Reyes' learner profile

Tap Sofia Reyes from the caseload. Her overview shows all behavior goals with current mastery percentages and status badges. Sofia is a fictional Pre-K learner with autism, stereotypy, and motor-imitation targets in the demo data.

Learner Journey for Sofia Reyes showing Pre-K profile with autism and stereotypy tags, behavior goals with mastery percentages, and goal status badges including Mastered, Emerging, and Not Started.
  1. Sofia's profile header with diagnosis tags
  2. Behavior goals with mastery percentages
  3. Goal status badges (Mastered, Emerging, Not Started)

4. Read the goal detail with methodology

Tap a behavior goal to see the full text, recording methodology (partial-interval recording across 15-second intervals), mastery criteria (3 consecutive sessions below target), progress chart, and current performance vs. target. The methodology is spelled out on the screen, not buried in a help doc.

Goal Progress detail for Sofia Reyes' stereotypy-reduction objective showing full goal text with partial-interval recording methodology, progress chart, mastery criteria, and current performance at 85% against a 20% target.
  1. Goal text with recording methodology
  2. Progress chart showing trend over sessions
  3. Current performance vs. target comparison

5. Run a DTT session

Open a DTT program and start a session. Each trial presents correct, incorrect, and prompted buttons. The trial counter, prompt level, and running accuracy update as you record. No end-of-day data entry, no paper data sheets.

DTT session runner showing trial counter, correct/incorrect/prompted response buttons, current prompt level, and running accuracy percentage updating in real time.
  1. Trial counter showing current trial number
  2. Response buttons (correct, incorrect, prompted)
  3. Current prompt level
  4. Running accuracy percentage

6. Run an interval observation

Open an interval observation program and start a session. The timer counts through each interval window. Mark whether the target behavior occurred during each interval. The behavior rate updates live as intervals complete.

Interval recording session showing a timer at 02:27, currently in interval 10 of a 15-second window, behavior occurrence marking buttons, and a running stereotypic behavior rate of 10.0%.
  1. Timer showing elapsed time and current interval
  2. Current interval window with behavior marking
  3. Running behavior rate percentage
  4. Interval completion grid

7. Check your ABA metrics

Navigate to Metrics in the sidebar. The ABA tab shows function hypothesis distributions from descriptive ABC data, session trends over time, and mastery analysis across your caseload. These charts are generated from actual session data recorded in the demo.

ABA Metrics screen showing a function hypothesis donut chart breaking down attention-maintained, escape-maintained, and tangible-maintained patterns, alongside session trends and mastery analysis charts.
  1. Function hypothesis donut chart
  2. Session trends over time
  3. Mastery analysis across caseload

Tell us what you think.

Tap the Feedback button in the top banner inside the demo to share what worked, what didn't, or what you'd want to see for your ABA workflow. Every note goes directly to the founder.

Want to go deeper?

If you've explored the demo and want early access, a discovery call, or ambassador consideration, request an invite.

All learner names and data shown are fictional personas seeded into our demo environment. No real learner data appears in any screenshot or guide.