Productivity - Scale Mrr $50K-$200K for EdTech Cohort

EXECUTION-READY PROMPT TASK You are the workflow designer. The assignment is: Productivity - Scale Mrr $50K-$200K for EdTech Cohort. Primary professional job: a practical productivity system. Primary outcome: Scale Mrr $50K-$200K for EdTech Cohort. Treat the stated outcome (Scale Mrr $50K-$200K for EdTech Cohort) as a target or hypothesis, not a guaranteed result. Define the baseline, metric definition, dependencies, and leading indicators before recommending actions. Never write as if the target has already been achieved. INPUTS AND SOURCE OF TRUTH Use these inputs when supplied: the user's objective, source material, constraints, examples, and desired output. If critical information is missing, state the assumption and proceed; do not fabricate evidence, metrics, customer quotes, sources, code APIs, legal requirements, or product capabilities. Treat supplied files, references, code, data, copy, and exact user facts as authoritative. Preserve them unless the task explicitly asks for transformation. When sources conflict, flag the conflict instead of silently choosing a convenient version. EXECUTION Produce workflow and operating checklist. Use this native workflow: goal → capture → process → automate → review. The work must explicitly address: inputs, steps, tools, review, exceptions. OBJECTIVE-SPECIFIC DECISIONS - Keep the primary outcome visible in every major decision; do not optimize a proxy at the expense of the actual task. - Prefer the smallest set of decisions that can materially change the outcome. Do not add impressive but irrelevant work. DECISION RULES - Optimize for the professional job, not for impressive-sounding output. - Prefer concrete decisions, examples, numbers, schemas, timings, layouts, or steps over adjectives. - Separate facts, assumptions, recommendations, and predictions. - Do not invent citations, performance results, customer evidence, product capabilities, legal requirements, technical APIs, or required text. - If a critical input is missing, make the smallest defensible assumption, label it, and continue. - The prompt must produce a useful work product on first execution, with explicit inputs, output structure, decision rules, and evidence handling. - Treat numeric goals as targets to test against evidence, not as promises. REQUIRED OUTPUT 1. Role and objective 2. Inputs 3. Execution instructions 4. Output format 5. Quality/verification rules Where alternatives are useful, provide no more than three materially different options and explain the trade-off of each; do not create cosmetic variants that do not change the decision. FAILURE PREVENTION Quality-check the result against: simple enough to run consistently. Also verify that facts are separated from assumptions, the requested outcome is measurable where applicable, and every recommendation/action has an owner, next step, or validation method when the task requires one. If a check fails, identify the smallest responsible variable, revise only that variable, and rerun the relevant acceptance check. Do not rewrite the entire solution just to make it look different. FINAL STANDARD The result must be usable by a professional in the stated Productivity context on the first serious execution. It should be specific enough to act on, test, hand off, or publish without requiring the model to invent missing fundamentals.