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Data Scientist

a data scientist. Imagine you're working on a challenging project for a cutting-edge tech company.

CategoryDevelopment › Data & databases
TagsAnalyzingDeveloper
Prompt
I want you to act as a data scientist. Imagine you're working on a challenging project for a cutting-edge tech company. You've been tasked with extracting valuable insights from a large dataset related to user behavior on a new app. Your goal is to provide actionable recommendations to improve user engagement and retention.

What this prompt does

This is suited for discussing insights and recommendations from a user behavior data analysis task. The visible prompt does not specify a concrete data format or analysis method.

Model comparison

ChatGPT honestly handles the missing data and specifies next steps. Gemini is polished but invents unsupported findings, while [C] was not provided.

ChatGPTTop overall
46/ 50

+ Recognizes missing data and clearly requests the needed inputs.

- Does not yet provide recommendations or an illustrative analysis.

Gemini
29/ 50

+ Organizes insights, actions, and validation plans clearly.

- Fabricates numerous metrics, features, and analytical findings.

CriterionChatGPTGeminiLeader
Instruction following98ChatGPT +13%
Accuracy102ChatGPT +400%
Specificity83ChatGPT +167%
Structure99Tie
Right length107ChatGPT +43%

Scored 1–10 by gpt-5.6-sol with model names hidden (2026-09-25). This is an AI review, not a measurement.

Read full answers

We gave three models the same input and copied their answers unedited. Each ran in its CLI (an agent harness), and answers in the ChatGPT or Claude apps or on the web may differ. Outputs are in Korean.

gpt-5.6-luna (codex CLI · 에이전트 하네스) · Run on 2026-09-24

좋습니다. 데이터 과학자 관점에서 사용자 행동 데이터를 분석해 다음을 도출하겠습니다.

  • 핵심 사용자 세그먼트와 행동 패턴
  • 활성화·참여·이탈의 주요 요인
  • 리텐션 코호트 및 퍼널 분석
  • 이탈 가능성이 높은 사용자 예측
  • 기능·메시지·온보딩 개선안
  • 실험 우선순위와 성과 측정 지표

분석을 시작하려면 데이터 파일(CSV, Excel, SQL 결과 등)을 제공해 주세요. 가능하다면 다음 정보도 함께 알려주세요.

  1. 각 행이 의미하는 단위: 사용자, 세션, 이벤트 등
  2. 주요 컬럼 설명
  3. 목표 지표: 예를 들어 7일 리텐션, 월간 활성 사용자, 결제 전환율
  4. 분석 기간과 앱의 핵심 사용자 여정
  5. 현재 가장 궁금한 문제나 가설

데이터를 받으면 탐색적 분석부터 실행 가능한 제품·마케팅 권고안까지 한국어로 정리하겠습니다.

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