QI Macros Quality Analysis and Productivity Reporting Training Course

Course overview

Quality and operations teams often have plenty of Excel data but lack a repeatable way to distinguish normal process variation from real deterioration, quantify capability, or convert findings into management-ready productivity reports. This course addresses that gap using QI Macros for Excel. Participants learn to move from raw defect, cycle-time, throughput, rework, service-level, and downtime data to evidence-based conclusions that support corrective action, staffing decisions, supplier discussions, and continuous-improvement priorities.

The course covers the QI Macros tools used most often in operational quality analysis: Pareto charts, fishbone diagrams, histograms, run charts, control charts, process capability studies, Gage R&R analysis, and Excel-based dashboards. Participants select the right chart for attribute and variable data, set up data correctly, interpret control limits and special-cause signals, calculate Cp, Cpk, Pp, and Ppk, and create productivity reports that show trends, targets, exceptions, and improvement results. They also learn practical decision rules for escalating variation, validating measurement systems, and avoiding misleading chart interpretations.

Instruction combines instructor demonstrations in QI Macros with guided workbook builds, operational case studies, peer interpretation sessions, and applied reporting exercises. Each participant works with a realistic quality-and-productivity dataset and develops an Excel reporting pack containing a defined metric set, control charts, Pareto analysis, capability findings, root-cause evidence, and a management summary. The completed pack provides a reusable structure for reporting a live process after the course.

This intermediate-to-advanced course is best suited to professionals who already work with operational data and need to produce credible quality analysis rather than manually assemble charts. It is equally valuable to managers approving improvement work who need reports that make process performance, risk, and improvement priorities visible.

Course objectives

By the end of this course, participants will be able to:

• Configure QI Macros templates and add-ins to analyse operational quality and productivity data in Excel
• Select and build Pareto charts, histograms, run charts, and fishbone diagrams for defined process questions
• Construct variable and attribute control charts with appropriate subgrouping, limits, and signal rules
• Interpret common-cause and special-cause variation to recommend proportionate process actions
• Calculate and explain Cp, Cpk, Pp, and Ppk capability measures against customer specification limits
• Perform a Gage R&R study and assess whether a measurement system is adequate for improvement decisions
• Create an Excel-based productivity dashboard linking throughput, cycle time, defects, rework, and target performance
• Produce a management-ready quality analysis pack with findings, root-cause evidence, actions, and reporting cadence

Benefits of attending

Target competencies

Who should attend

• Quality Engineers — who need defensible SPC and capability analysis from production or service data
• Continuous Improvement Specialists — who must prioritise waste, variation, and root causes with evidence
• Operations Managers — who need clear productivity reporting for daily, weekly, and monthly performance reviews
• Manufacturing Engineers — who monitor process stability, yield, defects, and equipment-related variation
• Business Process Analysts — who translate transactional process data into improvement recommendations
• Quality Managers — who oversee corrective action, audit evidence, and performance governance

Requirements and prerequisites

Participants should be comfortable using Microsoft Excel, including entering and cleaning tabular data, using basic formulas, sorting, filtering, and creating simple charts. They should understand the operational meaning of measures such as defect count, yield, cycle time, throughput, target, and specification limit, preferably through at least six months of quality, process, manufacturing, service, or improvement work. Prior exposure to Lean, Six Sigma, statistics, or QI Macros is helpful but not required. Participants do not need to write code, use Minitab, know advanced Excel functions, or have prior experience designing control charts; the statistical concepts are built through practical examples.

Training methodology

The programme is delivered through live instructor-led demonstrations and structured hands-on work in QI Macros and Excel. Participants build analyses from manufacturing and service-operation datasets containing defects, cycle times, inspection results, volumes, and downtime. Short teaching segments establish the decision logic behind each tool, followed by guided workbook construction, chart interpretation drills, and group review of competing improvement recommendations. Each day closes with an applied exercise, and the final day includes individual application planning to adapt the reporting pack, metric definitions, and review cadence to a participant’s own process.

Course outline

Day 1: QI Macros foundations and operational data preparation

• QI Macros installation, Excel ribbon navigation, and template selection
• Quality and productivity metric definitions for defects, yield, throughput, cycle time, and rework
• Structuring Excel data for reliable QI Macros chart generation
• Data cleaning, missing-value checks, subgroup identification, and timestamp validation
• Operational definitions, units of measure, targets, specifications, and baseline periods
• Selecting graphical analysis tools for categorical, time-series, and continuous data
• Building a reporting storyboard from process question to management decision

Workshop: Participants prepare a raw operations dataset and produce a documented metric dictionary and analysis-ready Excel table.

Day 2: Prioritising losses and investigating root causes

• Pareto chart construction for defects, complaints, delays, and rework categories
• Stratification by shift, product, team, supplier, location, and process step
• Histogram analysis of cycle time, fill weight, response time, and measurement distributions
• Run charts and trend analysis for productivity performance over time
• Fishbone diagram creation using the 6M root-cause structure
• Check sheets and data-collection plans for recurring operational problems
• From Pareto evidence to focused corrective-action hypotheses

Workshop: Participants analyse a defect-and-rework case, create a Pareto chart and fishbone diagram, and recommend the first investigation priority.

Day 3: Statistical process control with QI Macros

• Common-cause and special-cause variation in operational processes
• Rational subgrouping and sampling frequency for control-chart data
• Xbar-R and Individuals-Moving Range chart selection and construction
• p, np, c, and u chart selection for attribute and count data
• QI Macros control-chart rules, zone tests, and out-of-control signals
• Control limits versus specification limits and target lines
• Response plans for signals, shifts, trends, runs, and isolated exceptions

Workshop: Participants build and interpret variable and attribute control charts, then draft an escalation response for the signals found.

Day 4: Capability and measurement-system analysis

• Process capability prerequisites: stability, specifications, distribution, and sampling
• Cp and Cpk calculations for short-term capability assessment
• Pp and Ppk calculations for overall performance assessment
• Capability histogram and normality interpretation in QI Macros
• Translating capability results into defect risk and improvement priorities
• Gage R&R study design for appraisers, parts, trials, and measurement methods
• Repeatability, reproducibility, percent study variation, and measurement-system decisions

Workshop: Participants complete a capability analysis and Gage R&R case, producing a decision memo on process and measurement risks.

Day 5: Productivity reporting and improvement governance

• Designing an Excel quality and productivity dashboard for management review
• Linking throughput, cycle time, defects, yield, downtime, and rework measures
• Using QI Macros charts as evidence within recurring reporting workbooks
• Setting targets, alert thresholds, review periods, and metric ownership
• Writing concise findings from control-chart, Pareto, and capability evidence
• Corrective-action tracking with owners, due dates, verification measures, and closure criteria
• Creating a 30-day application plan for a live operational process

Workshop: Participants assemble and present a management-ready quality and productivity reporting pack with actions, owners, and a 30-day implementation plan.

Tools & standards covered

QI Macros SPC Software for Excel, Microsoft Excel, ISO 9001:2015, AIAG Statistical Process Control Manual

A typical training day

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions