ChatGPT Treats Uploaded JSON as Plain Text Instead of Structured Data
ChatGPT read your JSON as a wall of text and string-matched an answer instead of running pandas. Here's how to force the code sandbox and get real aggregates.
Articles tagged with #Data analysis
ChatGPT read your JSON as a wall of text and string-matched an answer instead of running pandas. Here's how to force the code sandbox and get real aggregates.
Turn a finished A/B test into a one-page summary with winner, lift, CI, segment caveats, novelty risk, an SRM check, and a clean ship/hold/kill call.
Turn a finalized budget into a 300-400 word narrative that names variances, justifies investments, and surfaces risk. Includes a copy-ready prompt and the right AI tool for each step (June 2026).
Turn support tickets, sales calls, and product analytics into one actionable answer with AI. Tool picks, a copy-ready prompt, file-size limits, and the checks that stop bad numbers — as of June 2026.
Get three caption variants for a chart or table (descriptive, interpretive, actionable) plus a 'common misreading' callout, with a copy-ready prompt and the right model picks for June 2026.
Use ChatGPT, Claude, or Gemini to turn each chart into a 2-sentence takeaway that names the pattern and the implication. Copy-ready prompt, model notes, and accuracy checks for June 2026.
Build a competitor teardown with ChatGPT, Claude, or Gemini — positioning, pricing, GTM, vulnerabilities — plus a fact-check pass that catches the funding rounds and customer counts AI invents.
A June 2026 workflow for using AI deep-research tools to assemble side-by-side competitor matrices with per-cell citations, real white-space gaps, and zero hallucinated pricing.
Post a 4-line weekly Slack takeaway your team actually reads — not 'here's the dashboard link.' Lead with what moved, name the cause, surface one surprise, ask the right question.
Use AI as a critical analyst on A/B results: significance, sample-ratio mismatch, effect size, power, validity threats, and the right next action — with a copy-ready prompt.
Turn a 200-page 10-K into a one-page brief — business model, revenue mix, buried risks, the line the CEO is proud of — with a copy-ready prompt and a number-verification step.
An analyst's workflow for using AI to surface trends, anomalies, and testable hypotheses in monthly financial data — the inputs, the prompt, the validation checks, and where AI quietly miscalculates.
Find the step with the biggest gap vs benchmark — not the biggest absolute drop — and surface the single highest-ROI test to run next, plus the tests not worth running.
Move from 'activation is up 4 points' to 'here is the most likely cause at medium confidence, here is what is still unproven, and here is the exact data that would resolve it' — without overclaiming causation.
Turn the week's metrics into a sharp KPI summary with AI — BLUF TL;DR, 3 wins, 3 risks, one ask — in 15 minutes instead of 90, without losing the narrative.
Paste this week's KPI table, get a 200-word weekly report with grounded hypotheses, honest miss callouts, and one thing to watch — with copy-ready prompts for ChatGPT, Claude, and Gemini (June 2026).
Turn 20+ pages of competitor teardowns and interview transcripts into a sharp landscape doc — segments, real gaps, and a named kill-switch assumption. Tool-by-tool picks and copy-ready prompts, June 2026.
Turn five PDFs and a folder of slides into a decision-ready one-pager — market size, trends, risks, recommendation — with sourced numbers, in 30-45 minutes.
Use AI to run open and axial coding on interview transcripts at scale, with Cohen's kappa reliability checks that catch hallucinated codes before they reach your findings.
Turn a 12 × 12 retention cohort grid into a 3-sentence leadership readout that names the real problem: week-1 direction, long-tail shape, and the one outlier cohort worth digging into.
A repeatable June 2026 workflow for clustering open-ended survey responses with Claude or ChatGPT: verifiable themes, traceable quotes, and drift control.
Turn 200 survey responses into a one-page narrative organized by the 2-3 decisions the survey was meant to inform — with verbatim quotes, prior-contradiction flags, and an honest 'too thin to conclude' section. Tested prompts for ChatGPT and Claude, June 2026.
Compress a packed table into a one-paragraph plain-English summary plus three 'what to do with this' bullets — with a copy-ready prompt and tool picks verified for June 2026.
Turn 300-2,000 app reviews, NPS comments, or support tickets into 5-10 themes a PM can ship against this sprint. Prompt, QA checklist, and tool picks for June 2026.
ChatGPT runs real Python on your CSV. Here is a step-by-step workflow to get correct numbers, not just good-looking charts, with June 2026 limits and settings.
A repeatable workflow that makes ChatGPT cite page numbers and pull real figures instead of vague summaries — with current file-size and upload limits.
11 prompts that feed AI a schema and aggregates instead of 5,000 raw rows: clean columns, outlier hunts, pivots, narrative reports, formula explainers, sanity audits. Updated June 2026.