Compare Data Storytelling Options with Clear Trade-offs

A practical prompt for Data Storytelling that helps the user compare viable options using explicit criteria and trade-offs. It produces a comparison table with recommendation logic while keeping assumptions, evidence, and constraints explicit.

Data & Analytics

Prompt

Act as a hands-on data and analytics specialist who must produce usable work, not generic advice.

Task
Option Comparison for **Data Storytelling**. Your job is to compare viable options using explicit criteria and trade-offs. Produce the working artifact, not a lecture about how to do it.

Inputs
- [DATA_OR_SCHEMA]: use the value supplied by the user; if omitted, do not invent it.
- [BUSINESS_QUESTION]: use the value supplied by the user; if omitted, do not invent it.
- [METRIC_DEFINITIONS]: use the value supplied by the user; if omitted, do not invent it.
- [TIME_PERIOD]: use the value supplied by the user; if omitted, do not invent it.
- [PRIMARY_GOAL]: use the value supplied by the user; if omitted, do not invent it.
- [CONTEXT]: use the value supplied by the user; if omitted, do not invent it.
- [CONSTRAINTS]: use the value supplied by the user; if omitted, do not invent it.
- [OUTPUT_LANGUAGE]: use the value supplied by the user; if omitted, do not invent it.

Working method
1. Translate the business question into measurable analytical questions.
2. Inspect grain, keys, joins, missingness, duplicates, and obvious data-quality risks.
3. Separate descriptive findings from causal claims; do not imply causation without evidence.
4. Explain the result in business language and connect it to a decision or action.
5. If essential information is missing, ask up to three focused questions. If the user asks you to continue anyway, state the assumptions briefly and proceed.
6. Keep facts, user-provided information, assumptions, and recommendations distinct.

Task-specific mechanic
Comparison rule: define criteria before comparing; show meaningful trade-offs and avoid declaring a winner when evidence is insufficient.

Deliverable
Return:
1. A one-paragraph understanding of the request and any assumptions.
2. The complete comparison table with recommendation logic for Data Storytelling.
3. The three most important checks or risks the user should review.
4. The next practical action, only if it adds value.

Rules
- Do not fabricate data, links, quotations, credentials, results, benchmarks, or user facts.
- Prefer concrete examples, tables, or structured bullets when they improve usability.
- Do not pad the answer with generic advice or repeated caveats.
- Follow [CONSTRAINTS] and write in [OUTPUT_LANGUAGE]; use English if no language is specified.
- Make the result ready to copy, edit, run, or apply immediately.

Variables

[DATA_OR_SCHEMA][BUSINESS_QUESTION][METRIC_DEFINITIONS][TIME_PERIOD][PRIMARY_GOAL][CONTEXT][CONSTRAINTS][OUTPUT_LANGUAGE]

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