Operations

Reduce Delays in an Existing Service by Making the Work Visible

Use when requests get delayed or delivery is hard to predict. It maps the real flow from request to delivery, shows the work in one shared view, limits work in progress, tracks delivery time, and tests small changes that can be undone.

Pick the Best of Several Options with a Weighted Score Table (Decision Matrix)

Use when choosing one of 3–7 known options against several needs. It sets criteria and weights, has each person score alone, adds up the totals, checks if small changes flip the result, and records why.

Hold a Blame-Free Team Retrospective and Agree on a Few Changes to Try Next

Use at the end of a sprint, milestone, or incident. Sets blame-free ground rules, gathers what went well and badly, finds the patterns behind them, and turns them into one to three changes with an owner and due date, checked at the next retrospective.

Split a Big Project Among Several AI Agents and Check Their Work

Use when several AI agents share one big project. It makes a plan with clear limits, gives each task one owner, runs tasks in the right order, checks each result against what was asked, caps how many times fixes are retried, and decides when to finish, ask a person, or stop.

Run a Complex Project with a Small Team in Short Cycles

Use for complex work that can't be fully planned ahead. It sets up a small team, one ordered work list, short fixed cycles with one goal each, a shared standard for done, and regular check-ins and reviews to adjust the plan and the way of working.

Take a Project Problem You Cannot Solve to the Right Decision-Makers and See It Through

Use when a project problem is beyond what you can decide or fix. It sets when to raise problems, checks the facts, picks who to involve, sums up the decision needed, keeps updates going, and closes with lessons learned.

Turn Strategy into a Few Team Goals with Measurable Key Results

Use when turning strategy into team goals. It writes a few outcome goals with measurable key results, separates stretch goals from firm promises, links goals across levels, keeps them apart from staff evaluations, and reviews progress to make decisions.

Organize a Research Skill Library for AI and Publish Only Checked Skills

For a collection of AI skills for research work: the AI files each skill under one research stage, keeps a fixed folder layout, tests skills on real tasks, and publishes only reviewed versions.

Check How Well Your Team Works Together and Choose What to Improve

Use when a team wants a blame-free look at how it works. In a 90-minute guided session, everyone rates eight areas red, yellow, or green at once, then the team picks one to three areas to fix, each with an owner and quarterly check-ins.

Turn Daily Work into Linked Notes on Projects and Decisions

Use when you keep work notes in a linked note tool. It sets up folders and indexes, sends meeting notes and problem reports to the right place, records decisions with reasons and proof of results, and runs start and end checks so finished work gets archived.

Keep an AI Working on a Long Task by Itself Within Set Limits and Stop Safely

Use when an AI should work on a long task without check-ins. It sets the goal, limits, and what counts as done, saves progress each round, tries a new approach when stuck, and stops with a report when done, over budget, or blocked.

Plan an Event from Setting Goals to Running the Day and Reviewing It

Use when organizing an in-person, online, or hybrid event. It sets the goal and audience, then plans the schedule and who does what, one shared event manual, backup plans, checks on the day, and a review afterward.

Update and Extend AI Instructions Built from One Source for Several AI Tools

Use when you maintain reusable AI instructions that save notes for later AI reading and are turned into versions for several AI tools. It edits only the original files, keeps required note details, runs tests, and releases only after checks pass.

Write and Maintain Product Management Skills That Teach Good Judgment

Use when an AI writes or updates a library of product management skills for AI agents. It keeps the reasons and examples that teach judgment, asks users one question at a time, and checks each skill and its links before release.

Keep an AI in a Shared Codebase to What Was Asked and Stop It Before Irreversible Steps

Use when an AI agent works in a shared codebase. It follows the requester's exact words, acts only within what was allowed, keeps a lasting task list, proves fixes by rerunning the real user steps, and stops before public or irreversible actions.

Fix Recurring Office Problems with a Written Procedure (SOP) and Checklists

Use it when supplies, vendors, facilities, or an office move keep causing trouble. It finds the root cause, writes a procedure sized to your office with clear owners, gives copy-paste checklists, and sets how to measure success and when to review.

Plan How to Automate Repetitive Manual Tasks Without Writing Code

Use when the same manual tasks eat your time. It asks about your tasks, tools, and skill level, then ranks what to automate first, picks tools within budget, and gives step-by-step setups, a way to test them, and a weekly rollout.

Make Small Changes to an App Built on a Local Background Service (Daemon)

Use when an AI codes in a project where a command-line tool and a desktop app both use a local background service. It reads the docs first, runs the project's own checks, keeps the network and data rules, and opens one change request (pull request) per issue.