AUTOMATA · interactive SLD review

Assessment data to report. See the draft take shape.

Try psychoeducational report automation in your browser. Explore an illustrative SLD eligibility review using an IQ score and WJ-V or KTEA-III academic scores. Generate tables, score and discrepancy figures, strengths and weaknesses, and recommendations that address both needs and strengths.

Start with a fictional example, then change the assessment or scores to explore the results. Explore annotated sample reports or watch the captioned score-to-report walkthrough. For PDF uploads and the wider app workflow, explore AUTOMATA’s report writing features.

  1. 01 Enter scores
  2. 02 Generate the draft
  3. 03 Review the reasoning

Build the example.

Use synthetic scores. No student names or identifying information are needed.

01 · Cognitive reference

Enter standard scores, not percentile ranks or scaled scores. Leave unavailable scores blank.

02 · Academic achievement

Enter the main academic skill scores you want to compare with the IQ reference.

03 · Processing scores Optional — add measured scores
Optional processing scores

Add available processing scores for the strengths-and-weaknesses discussion. Omitted scores remain unreported.

Your review draft

Results update when you choose Generate, so you can review a complete draft.

Preparing the interactive demo…

Ready when you are

See the scores, the differences, and the reasoning.

Enter scores or load a synthetic example, then generate a draft to explore the report format.

  • Tables & figuresReview the entered scores, a score graph, and an IQ–achievement discrepancy figure.
  • Strengths & weaknessesSee the academic and processing profile described alongside the selected demonstration rule.
  • RecommendationsExplore recommendations that address weaker skills and make use of stronger skills.
  • Definitions & review notesRead the academic and processing definitions and identify what still needs professional review.
Explore the original cognitive-score demoWISC-V, WJ IV COG, and WRAML-3 · illustrative score-to-narrative examples
AUTOMATA · live demo

Change a score. Watch the report change.

This is a live slice of how AUTOMATA writes: edit any standard score and the graph, APA table, percentile, confidence interval, descriptor, and every sentence that depends on it update together. Every number in the prose stays traceable to its cell. Nothing you type here leaves this page.

Sample data only — not a student file. When you are ready for the real pipeline, subscribe or download.

Input · scores
IndexSS%ile95% CIRange
Type any score 40–160. Nothing leaves this page.
Figure WISC-V
BW COLOR
Score table WISC-V
APA table: top rule, header rule, bottom rule. No verticals, no body row lines.
AUTOMATA output · cognitive results narrative WISC-V
Hover any highlighted number to see the cell it came from.
What’s real here: percentiles are computed from the normal curve (mean 100, SD 15); descriptors use the publisher’s band table for the selected instrument; the strength/weakness logic compares each index to the student’s own mean. The graph reads the same inputted scores. What’s simplified: the 95% CI uses a nominal SEM per instrument for illustration. The full AUTOMATA reads the publisher’s own CI and percentile tables from the score report, and a printed value always wins over a computed one. What’s not here: the upload-and-extract step (PDF → data sheet), your template and house style, prior-testing comparisons, eligibility reasoning, and the score-specific recommendations — see the sample report for those. Start a subscription or write to us to see those on your own report.
Next step

Explore the fictional demo, then contact us to confirm desktop release availability and the workflows supported by the approved build.

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