Executive Dashboard: Examples, KPIs and Templates for CXOs

Most CXOs in India start the week with a WhatsApp forward of an Excel MIS. It arrives on Monday, covers last week, and raises questions that take until Wednesday to answer. An executive dashboard replaces that pack with a live view that is always current and answers the next question on the spot.

This guide covers what goes on an executive dashboard, KPI templates by role with definitions, real examples, a five-step build process and the design rules that decide whether leaders actually use it.

What is an executive dashboard?

An executive dashboard is a summary-level business dashboard built for senior leaders. Unlike operational dashboards, which track daily activity for one team, it shows company-wide health across sales, finance and operations on a single screen.

A good executive dashboard has four properties:

• Few metrics. Usually 5 to 10 KPIs, chosen by the leader.
• Context on every number. Each KPI shows target, prior period and trend.
• Drill-down. One click from "revenue down 8%" to the region, product or customer that caused it.
• Always current. Data refreshes from source systems, not from a manual Excel.

Executive dashboard vs operational dashboard

	Executive dashboard	Operational dashboard
Audience	CEO, CFO, COO, business heads	Team leads and managers
Scope	Whole company	One function or process
Number of KPIs	5 to 10	10 to 30
Time frame	Month, quarter, year to date	Today, this week
Main question	Are we on track, and if not, why?	What needs doing now?

Executive dashboard KPI templates by role

Use these as starting points. Each template lists the KPI and how to define it, so finance and sales agree on the number.

CEO / founder dashboard

KPI	Definition	Compare with
Revenue	Net sales after returns and discounts, excluding GST	Target, same month last year
Gross margin %	(Revenue minus COGS) / revenue	Last 3 months
EBITDA	Operating profit before depreciation and interest	Budget
Cash balance and runway	Cash in bank; months of runway at current burn	Last month
Receivables over 90 days	Outstanding invoices older than 90 days	Last month
Top 3 risks	Metrics outside their normal range this week	Alert list

CFO dashboard

KPI	Definition	Compare with
DSO	Receivables / revenue x days in period	Target, last quarter
DPO	Payables / COGS x days	Last quarter
Cash conversion cycle	DSO + inventory days minus DPO	Last quarter
Operating cash flow	Cash from operations for the period	Budget
Budget vs actual	Variance by cost head	Budget
GST input credit mismatch	Credit in books vs GSTR-2B	Last month

Sales head dashboard

KPI	Definition	Compare with
Primary vs secondary sales	Company-to-distributor vs distributor-to-retailer	Target, last month
Achievement % by region	Actual / target	Other regions
Active outlets	Outlets billed at least once in the period	Last month
Average order value	Revenue / number of orders	Last 3 months
Collection efficiency	Collected / due	Target

COO / operations dashboard

KPI	Definition	Compare with
On-time delivery %	Orders delivered by the promised date	Target
Inventory days	Inventory / COGS x days	Last quarter
Stock-outs	SKUs at zero stock at key locations	Last week
Capacity utilisation	Actual output / capacity	Target
Returns rate	Returned units / sold units	Last month

CMO / marketing dashboard

KPI	Definition	Compare with
CAC	Marketing spend / new customers	Last quarter
ROAS	Revenue from ads / ad spend	By channel
Lead to customer %	Won deals / qualified leads	Last quarter
Repeat purchase rate	Customers ordering again within 90 days	Last cohort

For a weekly list of the CEO metrics that matter most, see the 10 KPIs every CEO should track weekly.

Executive dashboard examples

• Pharma company. Daffoworth Pharmaceuticals built 6 role-based dashboards with more than 80 widgets covering sales, returns, collections and marketing ROI. Its President asks questions of the master report in plain language instead of waiting for the MIS team (case study).
• Logistics company. ISA Logistics runs 13 role-based dashboards fed directly from Tally, with shipment tracking that went from hours to minutes (case study).
• Multi-outlet retail. A retail chain's executive view shows outlet-wise P&L, so the owner can see which stores pull the average down.

How to build an executive dashboard in 5 steps

1. Interview the leader. Ask which five questions they ask every Monday and which decisions those questions feed.
2. Agree definitions. Write the formula for each KPI with finance, including GST treatment and fiscal calendar.
3. Connect the sources. Link Tally, ERP, CRM and bank data directly so the dashboard refreshes without manual uploads.
4. Design one screen. Headline numbers on top, trend and breakdown below, detail in drill-downs.
5. Review after 30 days. Remove any widget nobody clicked and add the question leaders kept asking.

For detailed build steps, see how to build an executive dashboard.

Design rules for executive dashboards

• One screen, no scrolling for the headline view. Details go in drill-downs.
• Most important KPI top left, as a large number with its change.
• Red, amber and green only for status. Keep everything else neutral.
• Indian number formats. Show ₹4.2 Cr, not ₹42,000,000. A lakhs and crores converter helps when sources mix formats.
• Show the refresh time so nobody quotes stale numbers.
• Built for the phone. India had 1,046 million wireless internet subscribers in March 2026 (TRAI data via The Tribune), and leaders check numbers between meetings. A mobile BI app matters more than a big screen.
• Answer the why. When revenue drops, the dashboard should show the driver, not just the red number. Built-in KPI root cause analysis does this automatically.

KPIs Indian businesses should add

Templates from global BI vendors miss metrics that matter in India. Consider adding these to the relevant view:

• GST input credit at risk: credit claimed in books but missing from GSTR-2B, because unmatched credit becomes a cash cost. Our GSTR-2B reconciliation tool helps check it.
• Distributor credit exposure: outstanding by distributor against their credit limit, with overdue days.
• Secondary sales coverage: share of outlets billed this month compared with the outlet universe, a core metric in FMCG analytics and pharma.
• Scheme and discount leakage: trade scheme cost as a share of revenue, by region.
• Marketplace fee variance: commissions charged by Amazon or Flipkart against the agreed rate card, for D2C brands. See how to catch marketplace commission overcharges.
• Festive season comparison: Diwali or regional festival weeks compared like for like, since calendar months shift the festival.

Common mistakes

• Too many KPIs. A 30-metric executive dashboard is an operational report in disguise.
• No targets. Without a target, a leader cannot tell if a number is good.
• Manual data. If someone updates it from Excel every week, it will soon be late and then abandoned.
• Same dashboard for all leaders. The CFO and the sales head need different views.

Executive dashboards with AI

An AI dashboard builder changes three things. Leaders can ask follow-up questions in plain language ("Why is the West below target?") and get an answer with a chart. Alerts tell them when a KPI moves outside its normal range instead of waiting for the weekly review. And AI-written summaries, such as FireAI's CXO Summarizer, turn the dashboard into a short weekly brief that can be scheduled. The result is that the Monday review starts with the explanation already on the table, and the meeting is spent on what to do about it rather than on reconciling whose spreadsheet is right.

FireAI is a causal decision intelligence platform built by Steeplogic Systems in India. It builds executive dashboards from 700+ sources, including Tally and ERPs, with row-level security so each leader sees the right data. Its iOS and Android app lets CXOs track live KPIs and see why a number moved before a meeting. Book a demo.

Related reading

• Data-driven decision making: why you need the why
• AI in business intelligence
• How to build an executive dashboard

Sources

• TRAI Indian Telecom Services Performance Indicators, January to March 2026 (reported by The Tribune)
• FireAI case studies: Daffoworth Pharmaceuticals, ISA Logistics