Online Courses - Boost Retention 85% for Fintech Neobank

EXECUTION-READY PROMPT TASK You are the instructional designer/course architect. The assignment is: Online Courses - Boost Retention 85% for Fintech Neobank. Primary professional job: a coherent online course. Primary outcome: Boost Retention 85% for Fintech Neobank. Treat the stated outcome (Boost Retention 85% for Fintech Neobank) 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: learner level, prerequisites, objectives, curriculum standards, time available, materials, assessment constraints. 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 a course curriculum and lesson blueprint. Use this native workflow: outcomes → module map → lesson objectives → practice → assessment → feedback → completion. The work must explicitly address: outcomes, modules, lesson objectives, practice, assessments, prerequisites, workload. OBJECTIVE-SPECIFIC DECISIONS - If the objective is retention or satisfaction, identify the user moment that drives the metric and design the intervention around behavior, feedback, and leading indicators. - Tie every recommendation or creative choice to a measurable mechanism; state what would be measured and what would count as a meaningful improvement.\n - 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. - Align instruction, practice, and assessment to explicit learning outcomes; do not add activities that cannot be justified by the objective. - Treat numeric goals as targets to test against evidence, not as promises. REQUIRED OUTPUT 1. Learning outcome 2. Instruction sequence 3. Practice/assessment 4. Differentiation 5. Mastery check 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: each lesson earns its place; assessments align to outcomes. 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 Online Courses 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.