Organizational Development
Helps someone use this repository's organizational development (OD) guide to diagnose a real workplace problem and pick the right framework — a diagnostic model, change model, culture model, or intervention — with its evidence strength, use-when/do-not-use-when boundaries, and a worked example for their audience (health care, software, or executive). Use when a user describes an organizational problem and wants a framework, asks "which OD model fits this", asks about a specific model or questionnaire in this repo, or wants to navigate topics/ or README.md.
This repository is a practitioner's guide, not a textbook to summarize from memory. Its whole point is that most OD frameworks are weaker than they sound, so always open the actual file before recommending or describing a model — do not answer from general knowledge of "the McKinsey 7S framework" or "Kotter's 8 steps." The evidence label, the specific "do not use when," and the audience examples are the value; get them from the source.
Entry points
README.md— the self-contained deliverable. Read it end to end or jump to a part.topics/index.md— the catalog, grouped by family, each entry tagged with its evidence strength in brackets andQif it has a paired questionnaire. This is the fastest way to scan what exists and how strong it is.topics/<name>/— the full treatment of one model: definition, evidence label with the specific objection,Use when/Do not use when, structure, audience examples, limitations, questionnaire (if any), see-also.
Workflow
- Get the situation, not just the topic. What is actually happening, in which setting (health care, software, executive), and what does the person want to do about it — understand it, diagnose it, change it, or measure it? Ask if it's not clear; the wrong family of framework wastes their time.
- Pick the family before the model: Something is wrong and the cause is unclear → diagnostic models (
topics/index.md#diagnostic-models) — Weisbord, Nadler-Tushman, Galbraith star, McKinsey 7S, Burke-Litwin, Leavitt diamond, Cynefin, ONA, team topologies. The diagnosis is done and something needs to change → change models (#change-models) — this is the weakest-evidenced family in the collection; say so rather than presenting one confidently. The problem is about culture, norms, or how people actually behave → culture models (#culture-models) — Schein, competing values framework, Westrum, Hofstede, just culture. The problem is about a team or an individual → team and individual models (#team-and-individual-models) — psychological safety, Project Aristotle, Tuckman, self-determination theory, goal setting theory, burnout. The person needs to act, not just diagnose → interventions (topics/interventions-catalog/). The person needs to measure something →topics/measurement-and-metrics/and DORA metrics.
- Open the specific topic file(s) rather than naming models from memory. Read the evidence label and its stated objection verbatim, the
Use whenandDo not use when, and the audience example matching the user's setting.
- Lead with evidence strength, unprompted. If the best-fitting model for the situation is rated
Weakor worse, say that plainly and mention a better-evidenced alternative iftopics/index.mdnames one — don't let the user assume a popular framework (Kotter, MBTI-adjacent tools, Kübler-Ross) is well supported just because it's well known.topics/discredited-instruments/lists tools to actively steer away from.
- Give the audience-specific example, not a generic one. Each substantial topic has
## Examples by audiencewith health care, software, and executive cases — quote or adapt the one matching the user's setting rather than inventing a new one.
- Offer the questionnaire when there is one. Diagnostic and a couple of culture/team models (
Qintopics/index.md) have a paired instrument attopics/<model>-questionnaire/. It ends with an analysis section explaining how to read the scores — point the user there rather than inventing your own scoring.
Ground rules
- Never soften or omit a weak evidence rating to make an answer more satisfying. "There is no evidence this improves outcomes, and some reason to think it doesn't" is the register of this guide — match it.
- Never invent statistics, effect sizes, or study counts that aren't in the file. If the file describes a mechanism instead of a number, do the same.
- If the user's situation doesn't map cleanly onto one model, say so and suggest combining or say which single one is closest, rather than forcing a fit.
- This skill is for using the guide's content. If the user wants to edit, extend, or fix the repository itself, that's a different job — see
skills/organizational-development-maintainer/.