Master Playbook PDF
The front door, usage guide, sprint workflow, licence notes, and support guidance in one place.
Self-serve digital product
Turn messy reporting into a trusted improvement plan
The toolkit is a self-serve digital package: the master playbook, core workbook, and Brightside Bikes worked example for the person tasked with turning reporting trust issues into a practical plan from capture through to realised value, including the Semantic Layer Gate and AI-readiness risks.
Purchase details
This is a one-time digital purchase. After checkout, Lemon Squeezy sends the download access and receipt by email. The toolkit is a separate product and does not include the full book file, bespoke consulting, advisory work, or implementation support.
What you get
The front door, usage guide, sprint workflow, licence notes, and support guidance in one place.
Tabs for trust scoring, Data Tax, dashboard inventory, contracts, definitions, semantic-layer assumptions, source maps, value-chain notes, AI-readiness risks, and roadmap.
Brightside Bikes shows the expected depth of output using realistic fictional business data.
Book or toolkit?
The book explains the Reporting Trust framework. The toolkit helps you apply it using structured worksheets, registers, contracts, source-to-report maps, Semantic Layer Gate prompts, AI-readiness checks, and roadmap templates.
Toolkit operating map
The toolkit turns this map into working artefacts: scoring, definitions, source-to-report evidence, Semantic Layer Gate documentation, value-chain diagnosis, AI-readiness review, prioritisation, and a 30/60/90 improvement roadmap.
Implementation notes
If a data team is implementing the reporting controls, the implementation notes explain the SQL, modelling, testing, Semantic Layer Gate, AI controls, and debugging patterns behind the Reporting Trust method.
AI-assisted delivery
The AI Analytics Engineering Workflow Kit is a separate technical product with 60 controlled workflows for dbt, SQL, semantic layers, tests, documentation, pull requests, incidents, and repository health.
Example outputs
The toolkit helps you produce a Reporting Trust Score, Data Tax estimate, source-to-report map, Semantic Layer Gate notes, AI-readiness risks, value-chain diagnosis, prioritised backlog, and 30/60/90 improvement roadmap.
Questions
The toolkit includes a master playbook, core workbook, and Brightside Bikes worked example for diagnosing reporting trust gaps and turning them into a practical improvement plan.
Yes. The book explains the strategic Reporting Trust method. The toolkit is the tactical delivery package for applying the method through structured artefacts.
The package is designed around practical digital assets, including PDF guidance and workbook-style templates you can use to document scores, definitions, source paths, owners, Semantic Layer Gate assumptions, AI-readiness risks, interpretation gaps, and roadmap actions.
It is best for the person responsible for turning messy reporting into a plan: an operator, analytics lead, consultant, finance partner, or data team member working with business stakeholders.
Yes. The toolkit is built to make reporting trust problems visible and discussable, so internal teams and external consultants can work from the same definitions, evidence, and priorities.
No. The toolkit is a self-serve digital download. Bespoke consulting, advisory work, implementation support, or review of your organisation's data would need to be agreed separately.
Strategic companion
The full book explains the Reporting Trust principles, decision patterns, and operating logic that sit behind the toolkit assets.