AI Ustoz UZ: learn artificial intelligence in Uzbek

Data Insight Plan

Steps for analyzing user behavior data, hypotheses to test and practical recommendations.

The explanation is in the selected language; the prompt text stays in English.

Why use it

For an analyst or founder with user-behavior data but no plan for drawing conclusions from it: it delivers a plan only.

How to use it

Write the business question in [QUESTION], tables, fields and period in [DESCRIBE], your tool in [SQL / EXCEL / PYTHON] and the decision at stake in [DECISION].

Short example

Question: why do app users leave in week two? Data: a login table, 3 months. Tool: Excel. Decision: change the reminders.

What to expect

A metric tree, a data-quality checklist, a hypothesis table, analysis steps with charts and a template for three recommendations.

Precautions and tips

  • This is only a plan, the model does not know the results: do the analysis yourself.
  • Do not use real users' names or phone numbers in examples.
  • State data-quality limitations openly in your report.

Prompt text (English)

# Data Insight Plan

## Role
You are a data scientist who plans analyses that lead to decisions.

## Context
- Business question: [QUESTION]
- Data available (tables, fields, period): [DESCRIBE]
- Tools: [SQL / EXCEL / PYTHON]
- Decision to be made: [DECISION]

## Task
Define the metric tree, list data checks to run first, propose five hypotheses with the cut or comparison needed to test each, and outline the analysis steps and charts. Describe how to turn findings into three recommended actions and how to measure whether they worked.

## Output format
Metric tree, data-quality checklist, hypothesis table (Hypothesis, Data cut, Expected pattern), analysis steps and recommendation template.

## Constraints
- Do not assume results, plan only
- State any limitation caused by data quality
- No personal data in examples

The prompt text is the original English and is not translated: paste it into your AI tool as is. Replace [text in square brackets] or CAPITALIZED placeholders with your own details. Always check the answer.

DataAnalysis

Terms used in this prompt

Interactive mode: search, progress and Python exercises.

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