Dashboard Commentary — AI workflow for Malaysian SMEs
Dashboard Commentary turns dashboard snapshot/data into management commentary. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Dashboard Commentary
Create prompt
Create prompt
Create a first-pass deliverable
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Build me management commentary. Input from my side: dashboard snapshot/data. This is dashboard commentary for SMEs with spreadsheet data but limited analyst capacity, so keep it grounded and usable. Structure it in tight sections. Close with the single next action. Include a copy-ready version.
Replace “dashboard snapshot/data” with your real data.
Analyse prompt
Analyse prompt
Analyse the input and identify the highest-impact insights
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Study the dashboard snapshot/data I provide and analyse the dashboard commentary picture. Surface the top five insights, with numbers where the data supports them. Spell out the business impact. Deliver management commentary. End on the three highest-impact actions for reporting time.
Replace “dashboard snapshot/data” with your real data.
Optimise prompt
Optimise prompt
Improve an existing version for better business results
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Review and upgrade my dashboard commentary. Input: dashboard snapshot/data, plus what we currently produce. Tell me where it loses accuracy, clarity or conversion. Remove work that adds nothing. Hand back a better management commentary, with each improvement mapped as before-issue, change, expected reporting time movement.
Replace “dashboard snapshot/data” with your real data.
Automate prompt
Automate prompt
Turn the task into a repeatable AI-assisted workflow
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Build me an automation design for dashboard commentary. Input trigger: dashboard snapshot/data. Final output: management commentary. Tools available: Spreadsheets, BI, CRM, accounting, POS. Cover the trigger, required fields, AI instruction, decision logic, human checkpoints, fallback path, stored data and reporting time measurement. Nothing a small SME cannot run on its own.
Replace “dashboard snapshot/data” and the listed systems with what you actually run.
New here? How the four prompts work together
They are one sequence, not four options. Run them in order on the same piece of work, feeding each answer into the next.
Create
Paste your real data. You get a first draft. Most people never need to go further than this.
Analyse
Paste that draft back in. It tells you what is weak, missing or wrong before a customer sees it.
Optimise
Paste the draft again with what Analyse found. You get a stronger version.
Automate
Only once the output has been good five times running. This is the one people reach for too early.
Nothing forces you through all four. A good Create draft that you edit yourself is a finished job. The longer version.
Specification
- You give it
- Dashboard snapshot/data
- You get back
- Management commentary
- Moves
- Reporting time
- Run it
- Weekly/Monthly
- Priority
- P4
- Works with
- Spreadsheets, BI, CRM, accounting, POS
- Tool guides
- Excel & Google Sheets, Accounting software, POS systems
Is this for you?
- Pick it for
- SMEs with spreadsheet data but limited analyst capacity. No setup needed. If you can copy and paste, you can run it.
- What you get
- Drafted in minutes, not built from scratch. It aims at productivity. Watch one number: reporting time.
- Reach for it when
- Most SMEs run it weekly, reviewed monthly. If you are doing it by hand more often, automate it first.
How to run it
- 01Collect the input: dashboard snapshot/data.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “dashboard snapshot/data” in the prompt with your real data, then run it.
- 04Read the output against what you already know and correct anything the model guessed at.
- 05Track reporting time. Only wire up the Automate prompt after five useful runs in a row.
The tools you will need
The prompts run in any chat assistant — ChatGPT, Claude or Gemini. These are what you need around them to get the input in and the output somewhere useful.
- Spreadsheets
- BI
- accounting
- AutoCountMalaysian, widely used for SST and e-Invoice.
- QuickBooks
- Xero
Check the rules yourself
This workflow touches rules set by someone else. Check the current requirements yourself before you act on the output.
- JPDP
- Pasting customer or staff records into an AI tool is a transfer of personal data. Consent, notice, retention and cross-border rules still apply when the tool is not yours.
Links go to each authority’s own site. See all Malaysian authorities.
Data & privacy
If you paste customer or staff details into an AI tool, your business stays responsible for them under the PDPA. Replace names and numbers with initials or references first.
Using customer data with AI tools in Malaysia covers what to check with any provider before you paste.
For this website, it works differently.
Nothing you type here is sent to us or to an AI model. The prompts are static content, and the copy button works directly inside your browser.
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Maintained by Naven Pillai