You know the work moves the needle. You just don't have the numbers.

You redesigned the program, and trust went up. You know this because reception stopped getting so many calls and people started showing up with smiles. You know this because you can feel it happening.

Then someone in a budget meeting asks for a number, and all you have is that feeling.

The HCD Measurement Guide turns what you already know into something you can hand to someone who wasn't in the room.

What it is

Most measurement tools ask you to count things that don't matter, like page views, or things you can't count at all, like trust. This guide gives you a third option: a way to build a number out of things you actually observed, without needing a lab or a data science degree to do it.

How you know it works

This isn't a framework we invented in a conference room. It's built on methods used by the OECD, USAID, UNECE, and the EU's national statistics offices, the same institutions that measure things like "quality of life" and "institutional trust" when there's no thermometer for either one. It's been used inside GSA and taught at the Ohio State.

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Ishmael Interactive

The Measurement Guides

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The HCD Measurement Guide. The complete measurement methodology that produced $11 million in documented cost avoidance at the U.S. General Services Administration.

In the HCD Measurement Guide, your teams will learn how to implement measurement strategies using "compiled indicators"—an ontologically-based system of measuring complex, multidimensional outcomes like human-centered design projects.

This approach allows measurement of indirectly measurable situations without requiring control over all variables, uses accessible computational methods rather than sophisticated statistical modeling, and has been validated by major institutions including USAID, OECD, and the European Union's Eurostat.

The Concepts portion explains the "why" behind this measurement methodology and works in tandem with the companion Operations guide that details the "how" of identifying indicators, scoring them, and compiling scores to understand both the overall value of offerings and how they should evolve based on evidence. Your organization gains permanent measurement capability without vendor platform dependency.

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What's Inside

Four steps to normalize your data, explained for someone who isn't a statistician
The three data types that make your measurement instrument hold up under scrutiny
18 diagrams, 63 citations, and a companion guide that walks the "how" step by step

You don't need to be a data scientist

You need one hour and a way to say, "here's what changed and here's how I know."

HCD Guide Series

Get all four HCD Guides: Discovery, Production, Delivery, and Measurement, and drop into where ever you find yourself in your innovation or process improvement cycle.

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