Ten named frameworks
Frameworks for
analytics leaders
The vocabulary from The Auction Block, distilled. Each framework gets a one-sentence definition, the real story behind it, and what to do about it Monday morning.
Manufacturing Mindset
The Manufacturing Mindset treats data work as factory work — measuring throughput, cycle time, waste, and yield instead of counting deliverables.
Usage Is the Receipt
Usage Is the Receipt means the only proof an analytics product worked is whether people actually use it — adoption is the receipt, everything else is a claim.
The 70% Confidence Principle
The 70% Confidence Principle means shipping a directional answer at 70% confidence and learning fast, instead of chasing 95% certainty while the business waits.
Build That!
Build That! means validating ideas with a mockup people can react to before writing requirements — the picture is the spec, not a document nobody can quite picture.
Data Tables as Hieroglyphics
Data Tables as Hieroglyphics is the argument that cryptic schema names like fact_trx_dtl_v3 are gatekeeping dressed up as rigor, not a technical necessity.
Medallion Architecture Disdain
Medallion Architecture Disdain argues that Bronze/Silver/Gold layer naming describes processing stage, not content — call it the Paint Department instead, a name that tells you what happens there.
The AI Hype Cycle Trap
The AI Hype Cycle Trap is building the impressive AI demo instead of the boring, high-value fix — because demo success and production value are not the same thing, and the gap between them is where budgets go to die.
The Four E's
The Four E's — Engagement, Experience, Effectiveness, Efficiency — describe the order analytics maturity actually moves through, and the order is non-negotiable: chase efficiency before anyone is engaged and you optimize something nobody uses.
Ecosystems Over Products
Ecosystems Over Products means building an interconnected system of analytics assets that reference and reinforce each other, instead of a pile of isolated dashboards and models that each stand alone.
It Was Never About the Tech
It Was Never About the Tech is the observation that analytics transformations fail on politics, people, and principles far more often than on tooling — the technology is rarely the binding constraint.
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