Master Playbook
Follow the workflow from business framing through data, analysis, delivery, and review.
Public downloadTeaching
Resources for teaching analytics and responsible AI.
Choose an editable guide, a review method, or a small practice lab. The materials support faculty judgment and make the learning path visible.
Teaching Students to Think with AI
Use the five-step cycle with a discipline-specific question: Ask, Analyze, Improve, Apply, Reflect. Require the student to explain the evidence and their revision decisions.
- Ask: Frame a clear question with audience, context and constraints.
- Analyze: Inspect AI claims, assumptions, calculations and missing evidence.
- Improve: Revise the answer and record why the change matters.
- Apply: Use the revised work in the case or task.
- Reflect: Explain learning and where human judgment mattered.
Curriculum Currency Auditor
Review one course at a time. Collect the approved outcomes, schedule, assignments, rubrics, and aggregate learning evidence. Add dated external references and review each KEEP, UPDATE, ADD, or REMOVE recommendation.
Before changing a course
- Confirm the course and program outcome versions.
- Separate missing evidence from a demonstrated gap.
- Verify every citation and proposed skill requirement.
- Remove student identifiers before using AI.
- Record faculty decisions and the next review date.
ISA 2010 Course Supervisor Guide
A practical planning template for a shared course baseline, instructor coordination, assessment evidence, MOS logistics, and improvement tracking. It proposes responsibilities for confirmation with program leadership; it does not establish university policy or delegated authority.
Download guide and blank templates
The guide records a 2026–2027 planning context. Confirm current catalog requirements and local assessment procedures before use.
New Analyst Acceleration Kit
These five resources retain separate purposes. Open the field guide for a quick start, the playbook for depth, and the workbook to practice.
Quick Reference Field Guide
Start here for a concise checklist and the next useful action.
Public downloadPractice Workbook
Complete blank working templates while applying the methods to your own case.
Public downloadTerminology Guide
Look up terms such as grain, lineage, hypothesis, dashboard, and governance.
Public downloadQuestions and Professional Answers
Read common beginner questions and practical mentoring responses.
Public downloadOpen the separate Seasoned Analyst Toolbox for more methods, checks and reusable tools.
Use the course materials in context
The SPARK + TRACE course uses SUMMIT+ for graded investigation and TrailPeak for small tool practice. The complete instructor hub is private. Public visitors can try the TrailPeak practice lab without signing in.
24 reusable analyst templates
Choose the current project stage, download one blank template, and complete its evidence check. Download all 24 templates as a ZIP.
Plan the work
Get and check the data
Analyze the question
Review and deliver
Measure and close
Applied analytics prototype
Market Research Scanner
This research prototype retrieves public market data, checks settlement descriptions and activity, groups related questions and ranks candidates for further investigation. It illustrates data quality, provenance, uncertainty and evidence-led research.
Status: prototype, not a released tool. The recovered Python export contains notebook prose that prevents execution. No working application or validated prediction model is supplied here. An educational next step is a reproducible, read-only research notebook with documented inputs and independent checks.