{"id":"exec-issue-tree-onboarding-delay-numbered","audience":"consultants","category":"leadership-work","track":"leadership","level":"beginner","technique":"format","title":"Build a two-level issue tree for slow onboarding using given data","free":false,"task":"Build a two-level issue tree for why customer onboarding takes 38 days instead of 25. Plain text numbered like 1, 1a, 1b, 2, 2a, 2b, 3, 3a, 3b: three branches with two sub-questions each, nine lines in total. Each line is under 14 words and each sub-question can be answered from the data in the notes. Branches must be stages of onboarding. Last line: Pull first: and one data source.","materialLabel":"Client notes (attached to your prompt automatically)","material":"Client: Beacon Cloud (fictional), average onboarding time rose from 25 to 38 days.\n\nOnboarding stages: (1) Contract and setup, (2) Data import, (3) Training and go-live.\n\nData available: CRM stage timestamps, import job logs, training attendance records, support tickets tagged \"onboarding\".\nNot available: customer satisfaction scores for onboarding; competitor benchmarks.\n\nWhat we know\n- Setup tickets rose 40% after a new legal review step in June.\n- Import failures: 22% of imports need a rerun.\n- Training sessions are scheduled 9 days after import on average.\n- The CEO thinks customers are bigger now. Unverified.","rules":[{"type":"maxWords","max":120},{"type":"plainText"}],"mistakes":[{"title":"Wrong structure","why":"The AI adds extra levels.","fix":"Say: \"Exactly 1, 1a, 1b, 2, 2a, 2b, 3, 3a, 3b.\"","checks":["r0"]},{"title":"Unavailable data","why":"The AI asks for satisfaction scores.","fix":"Say: \"Only data in the available list.\"","checks":["r2"]},{"title":"Branches not stages","why":"The AI uses themes like people and process.","fix":"Say: \"Branches are the three onboarding stages.\"","checks":["r1"]},{"title":"Markdown","why":"The AI uses nested bullets.","fix":"Say: \"Plain text with the numbering given.\"","checks":["plainText"]},{"title":"Trusting the AI to count words","why":"AI is bad at counting. Ask for a total word limit and it often lands over it.","fix":"Cap each line: \"each line under 14 words.\"","checks":["maxWords"]},{"title":"Trusting the AI to count words","why":"AI is bad at counting. Ask for a total word limit and it often lands over it.","fix":"Cap each part instead, for example: \"each line under 12 words.\"","checks":["maxWords"]}],"promptHints":[{"label":"Numbering","patterns":["1a","2b","3a"]},{"label":"Stages","patterns":["stages?","contract","import","training"]},{"label":"Available data","patterns":["available","listed data"]},{"label":"Pull first line","patterns":["pull first"]},{"label":"Short","patterns":["under \\d+ words"]}],"hint":"Show the numbering scheme, say branches are stages, and limit to available data.","rubricLabels":["Has nine numbered lines (1, 1a, 1b, 2, 2a, 2b, 3, 3a, 3b) followed by a last line starting \"Pull first:\"","The three top-level branches are contract and setup, data import, and training and go-live, and each sub-question is answerable from the listed data (CRM timestamps, import logs, attendance records, tickets)","No line needs customer satisfaction scores or competitor benchmarks, and the last line names one data source from the available list"]}