KPI Narrative — AI workflow for Malaysian SMEs
KPI Narrative turns dashboard metrics into plain-language KPI explanation. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for KPI Narrative
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
I am handing you dashboard metrics. Produce plain-language KPI explanation from it. This is a KPI narrative job for owners and managers who need faster decisions from fragmented business information. No padding. Tight sections, a single next action at the end, and a final version I can drop into the workflow as-is.
Replace “dashboard metrics” 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
Analyse my KPI narrative data. I will give you dashboard metrics. Pull out the five findings that matter most. Rank or quantify them where the data allows. Explain what each one means for the business. Then produce plain-language KPI explanation. Finish with the top three moves to lift reporting time.
Replace “dashboard metrics” 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
Take my current KPI narrative version and improve it. I supply dashboard metrics and the existing results. Find the weaknesses, kill the busywork, tighten the output. Deliver the improved plain-language KPI explanation. List every change with the problem it fixes and the reporting time effect I should expect.
Replace “dashboard metrics” 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
The task: automate KPI narrative. The workflow fires on dashboard metrics and must produce plain-language KPI explanation. We use BI, accounting, CRM, spreadsheets, project tools. Specify trigger conditions, required fields, the AI's exact job, decision rules, approval gates, fallback handling, data retention and how reporting time gets tracked. Simple beats clever here.
Replace “dashboard metrics” 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 metrics
- You get back
- Plain-language KPI explanation
- Moves
- Reporting time
- Run it
- Weekly/Monthly
- Priority
- P4
- Works with
- BI, accounting, CRM, spreadsheets, project tools
- Tool guides
- Excel & Google Sheets, Accounting software
Is this for you?
- Pick it for
- Owners and managers who need faster decisions from fragmented business information. 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 metrics.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “dashboard metrics” 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.
- BI
- accounting
- AutoCountMalaysian, widely used for SST and e-Invoice.
- QuickBooks
- Xero
- spreadsheets
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
