- 1Understand the method
- 2Do it
- 3Check the result
How to do this task
Follow the method below, do the task, then check the result. Tool links show options, not extra steps you must complete.
Remove usernames and identifying details, then give each message a label. Use the guide and one assistant to group the messages into problems, suggestions and feelings while keeping their original wording. Check mixed messages and duplicates before choosing what needs a reply.
View ChatGPT instructions →Group each labelled message under problem, suggestion and/or expression of feeling. Quote the exact wording and keep mixed messages in every relevant group. Flag exact duplicates. Count messages, not people. Do not infer identity, severity, root cause or popularity. End with questions for follow-up. Messages:- Four messages become four independent reports. Keep M1 and M4 as an exact duplicate pair; do not infer how many distinct people wrote the messages.
- Every message is forced into one category. M3 can describe both a usability problem and a feeling; preserve both, while keeping M2 as a suggestion.
- Frustration becomes a confirmed outage or root cause. Record what the message says, then mark the technical cause as unconfirmed until there is evidence.
Do it with the right tool
Work through this task step by step
Prepare your material, copy the prompt, then check and revise the draft.
Start the guided workflow →Need help choosing an assistant?
Use one assistant you can access, including one you already know. The tools below are alternatives, not extra steps. Check access, required features and data rules before using one.
- Example tool for this task
A general-purpose AI assistant for chat, analysis, writing, images and files.
See full tool details →Good for- Broad personal and work tasks
- Multimodal questions with text, images and files
Watch out- Verify factual claims and citations
- Review current data controls before pasting work material
- Another tool in a matching category
A Chinese AI assistant known for reasoning and coding-oriented models.
See full tool details →Good for- Checking a maths solution one step at a time
- Grouping short feedback excerpts with quote labels
Watch out- Browser chat access and API billing are separate
- A long explanation can still contain a wrong step
- Another tool in a matching category
Google’s general AI assistant for everyday questions, files and connected Google workflows.
See full tool details →Good for- Summarising a small uploaded document
- Questioning a spreadsheet with source-cell checks
Watch out- Drive connections have different requirements from local file uploads
- A successful upload does not prove every page was read correctly
Paste this prompt with your material into the assistant you chose.
Group each labelled message under problem, suggestion and/or expression of feeling. Quote the exact wording and keep mixed messages in every relevant group. Flag exact duplicates. Count messages, not people. Do not infer identity, severity, root cause or popularity. End with questions for follow-up. Messages:Human check before use
- Every item retains its original wording and message label
- Exact duplicates are flagged; messages are not counted as unique people
- Mixed feedback can appear in multiple groups without double-counting unique messages
- Severity, root cause and promised fixes have not been inferred
Where this comes from
No real usage, success rate, elapsed time or edit rate has been measured for this task yet.
- Source type
- AhaDo task instructions
- Collected on
- 2026-08-13
- Verification status
- Real-user results not yet measured
- Sample size
- No user samples yet
Report a correction
Point out a missing step or an unsafe claim. Your note is saved in your workspace for review.
