AI Tools/Commacad QuantiPreter™

Commacad QuantiPreter™

Commacad Interpretation Framework™ · Powered by OpenAI

How It Works

Three straightforward steps to a structured, framework-aligned interpretation of your statistical output.

01

Upload your output

Take a screenshot or export your SPSS, R, or other quantitative software output as an image (JPG, PNG, or WebP, up to 5 MB).

02

State your research question

Provide your research question or hypothesis. The system uses this to align the interpretation precisely to your research aim.

03

Receive structured interpretation

Get a publication-conscious interpretation covering statistical context, key findings, practical meaning, and reporting guidance.

Exclusive Workshop Access

The Commacad QuantiPreter™ is available to paid enrollees of eligible Commacad workshops for 7 days after the last session ends. Enrol in an eligible workshop to unlock access.

View Current Workshop

What You Receive

Every interpretation is structured into six clearly labelled sections following the Commacad Interpretation Framework™.

01

Statistical Context

Identifies the statistical test used and its research purpose.

02

Key Findings

Objective summary of visible results — what the numbers actually show.

03

Alignment With Research Question

Interpretation tied directly to the stated research aim.

04

Practical Interpretation

Substantive meaning without exaggeration or overclaiming.

05

Notes and Cautions

Assumption notes, statistical limitations, and cautions.

06

Reporting Guidance

Bullet-point cues and sample phrasing for academic write-up.

What the Assistant Does Not Do

Strict ethical boundaries are built in. The system interprets what is clearly visible — it does not fabricate, assume, or override researcher judgment.

Generate or fabricate statistical values
Conduct data analysis or run statistical tests
Claim decision-making authority over hypotheses
Rewrite full Results chapters or thesis sections
Interpret blurred or missing output values
Imply causation in non-experimental designs