Reviewed metrics to report draft
Clinical Language Sample Reports
ConductSpeech reports are based on the same analysis values shown in the dashboard. That means the report can include MLU, PGU, lexical diversity, SI, C-units, maze summaries, grade comparisons, and verbal facility status when timing exists.
The report workflow is designed to save drafting time while keeping the clinician in control. Edit the transcript, review the metrics, then generate the clinical narrative from the reviewed sample.
Sample result
Clinical Language Sample Reports
Language form
MLU, PGU, error patterns
Syntax
SI based on clauses and C-units
Fluency
Maze words and verbal facility status
Syntax
SI, C-units, clauses
Grammar
PGU and error patterns
Fluency
Mazes and verbal facility
Use
IEP-friendly narrative
Syntax
SI, C-units, clauses
Grammar
PGU and error patterns
Fluency
Mazes and verbal facility
Use
IEP-friendly narrative
How it fits into a speech workflow
1
Collect
Start from a recording, transcript, or saved session.
2
Review
Check speaker turns and make clinical edits before relying on results.
3
Measure
See the language measures and notes that matter for this feature.
4
Use
Bring the output into reports, progress review, or research exports.
Reports reflect reviewed metrics
The report should not introduce mystery numbers. ConductSpeech passes the dashboard metrics into report generation so the clinical narrative lines up with what the clinician already saw.
SALT metrics in plain language
A report can describe the Subordination Index, total C-units, total clauses, maze words, mazed utterances, and verbal facility status. These are written for IEP teams and clinical files, not for developers.
Useful drafts, not automatic sign-off
Reports are drafts that help clinicians move faster. They should be reviewed, edited, and interpreted alongside observation, standardized testing, classroom performance, and the student's background.
What users see
Report excerpt can include
A compact result view turns the feature into reviewable language, not a technical readout.
Language form
MLU, PGU, error patterns
Syntax
SI based on clauses and C-units
Fluency
Maze words and verbal facility status
Comparison
Age, grade, and protocol-aware norm interpretation
Clinical interpretation notes
- Reports are clinical drafts, not a replacement for professional judgment.
- Generated text should be reviewed before inclusion in official documentation.
Related pages
SALT Transcript Editor
Edit AI-drafted transcripts with SALT-style codes, review suggestions, and re-analyze language sample metrics instantly.
Subordination Index and C-Units
Calculate C-units, clauses, and Subordination Index for school-age language samples without hand-counting.
Maze Analysis for Language Samples
Review filled pauses, repetitions, revisions, abandoned starts, and maze words per 100 words in language samples.
Grade-Stratified Language Sample Norms
Compare school-age language samples by grade, age, and task type with source-aware norm explanations.
SALT-compatible analysis methodology
Read how ConductSpeech documents conventions, validation, and limitations.
Ready to try it
Start with a real language sample.
Create an account, upload or review a sample, and see how this feature appears inside the ConductSpeech workflow.