FBA Workspace

The FBA Workspace is a dedicated write-up environment for functional behavior assessments. It connects ABC and Narrative observation data directly to your detailed FBA report, with evidence rails that surface behavioral patterns, conditional probabilities, and antecedent-consequence chains. It is designed for the analysis and writing phase — not for recording. You record sessions as usual, then come to the workspace to organize evidence, develop hypotheses, and write the report.

Compare with: For simpler observation write-ups and cross-session reports that don’t require detailed functional analysis, see the Write-Up Workspace. The Write-Up Workspace works with all observation methods and focuses on metric citation and narrative drafting.

Accessing the workspace

From the Student Hub, tap “FBA Workspace.” The link appears when the student has at least one ABC or Narrative recording session. If you don’t see it, check that you have completed and saved at least one session of those types.

Layout overview

The workspace is a two-panel environment:

• Left panel — Evidence rail. Your observation data, organized by relevance to the FBA.
• Right panel — Narrative editor. A rich text editor where you write the actual report.

The two panels are designed to be used together: you work through evidence on the left and write or cite on the right. You can resize the panels by dragging the divider.

Evidence rail

The evidence rail surfaces your data in a format designed for FBA reasoning, not raw data review. It includes:

• Behavior frequency and rate. Session-level counts and rates across all sessions, with trend direction indicated.
• ABC conditional probabilities. Statements like “47% of disruptions followed non-preferred task demands” or “escape was the consequence in 61% of episodes.” These are computed from your ABC entries across sessions.
• Behavior chains. The most common A→B→C sequences, ranked by frequency. Helps identify consistent patterns without manually reviewing every entry.
• Session-level stats and trends. Rate changes across sessions, variability, and phase comparisons if you’ve set phase markers.

Evidence items are tiered — the strongest and most consistent patterns surface first. Lower-frequency or less consistent patterns appear further down.

Citing evidence: click any evidence item to insert a citation into the narrative editor at the cursor position. Citations reference the underlying session data, so the connection between the written claim and the data is preserved. (Full click-to-cite integration is available on Pro and Pro+AI tiers.)

Narrative editor

The right panel is a rich text editor pre-loaded with standard FBA section structure:

1. Referral Information
2. Observation Methods
3. Behavioral Description
4. Functional Hypotheses
5. Recommendations

Write directly in the editor as you would in any word processor. You can add, rename, or reorder sections. Formatting options include headings, bold, italic, bullet lists, and numbered lists.

The section structure is a starting point, not a requirement. If your district uses a different format, you can reorganize or delete sections freely.

AI drafting

Highlight a section header or place your cursor in a section, then tap “Draft with AI.” sight·line uses your evidence rail data to generate a narrative paragraph or section for that part of the report.

AI drafting is designed to produce a clinical first draft — accurate to your data, written in appropriate professional language — that you then review, edit, and finalize. It does not invent findings. If the evidence rail shows a 40% conditional probability for escape, the draft will report approximately that. You remain responsible for clinical interpretation and the final written product.

AI drafting requires the Pro+AI tier and a configured AI provider (local model or API key). See AI Setup for configuration.

Figures tab

Switch to the Figures tab to add charts and visualizations to the report. Available figure types include:

• Session trend graphs. Rate or percentage over time, with phase markers.
• ABC heatmaps. Antecedent-by-consequence frequency grids showing which A-C pairings are most common.
• Sankey flow diagrams. Visual A→B→C paths weighted by frequency, making it easy to show how antecedents lead to behaviors and consequences in one figure.
• Comparison charts. Side-by-side session data across baseline and intervention phases.

Figures you add in this tab are embedded inline in the document and render in the PDF export. They are not separate attachments.

To add a figure: tap the + button in the Figures tab, select a figure type, configure it (choose which behavior, which sessions, which phases), then tap Insert. The figure appears at the current cursor position in the document.

Clinical portraits

A clinical portrait is an AI-generated cross-session behavioral profile — a synthesis of everything sight·line has collected for a student, written as a coherent clinical narrative rather than a session-by-session summary.

Portraits are generated from the Student Hub (tap the AI menu, then “Generate Portrait”) or from the FBA Workspace. They require at least three completed sessions and the Pro+AI tier.

What a portrait includes:

• Behavioral description. A profile of the target behavior(s): topography, typical intensity, setting patterns, and how presentation has changed across sessions.
• Antecedent and consequence patterns. Synthesized from ABC data — the conditions that reliably precede and follow the behavior, expressed in clinical language rather than raw counts.
• Phase comparison. If you’ve used phase markers, the portrait describes what changed between baseline and intervention conditions.
• Temporal patterns. Any time-of-day, activity-type, or session-progression patterns detected across the dataset.

Portraits are designed to accelerate FBA writing, not replace clinical judgment. The output is a draft — review it, edit it, and verify that every claim maps to data you recognize from your observations. You can insert the portrait text directly into the FBA Workspace narrative editor.

PDF export

Tap Export or use Cmd+P to export the completed FBA as a formatted PDF. The PDF includes:

• All narrative sections with your text and any AI-drafted content
• Inline figures rendered at print resolution
• Any evidence citations linked to the underlying data

The PDF is generated locally. No data is sent to a server. The output is formatted for standard letter-size pages and is suitable for evaluation binders, IEP packets, and district records.