Help Shape QC Dashboard

Tell us which new scenarios and statistical methods matter most to your quality process. Your input directly drives what we build next.

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What would you like to see next?

Select all that interest you. This helps us prioritize our roadmap.

Gage R&R -- Measurement system analysis (repeatability & reproducibility)

Batch/Lot Analysis -- Compare quality across production batches

Multi-Characteristic Dashboard -- Analyze multiple dimensions per part simultaneously

Cpk Trend Tracker -- Monitor capability index changes over time

Supplier Comparison -- Compare incoming inspection data across suppliers

Full Capability Study -- Normality testing, Pp/Ppk, short-term vs long-term analysis

Measurement Uncertainty -- GUM-based uncertainty budgets and estimation

Yield Analysis -- First-pass yield, rolled throughput yield, and scrap rate tracking

Correlation Analysis -- Scatter plots and regression between process variables

Sampling Plan Designer -- AQL-based sampling plans (ANSI/ASQ Z1.4)

ANOVA -- One-way and two-way analysis of variance for group differences

F-Test -- Test equality of variances between two groups

t-Test -- Compare means between two groups (paired and independent)

ML Anomaly Detection -- Machine learning-based out-of-control point detection

ML Process Prediction -- Predict future capability and drift using ML models

Something else (describe below)

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