Supernormal field report / 01

The Most Expensive Spreadsheet in Australia

Seven manual workflows quietly costing businesses time - and a practical method for deciding which one to delete first.

Supernormal Systems · Workflow Deletion Download PDF · 2026 edition · Australian businesses

Start with the work, not the software

The expensive spreadsheet is rarely just a spreadsheet.

It is the visible part of a workflow: someone exports data, fixes the columns, asks a colleague for a missing number, pastes it somewhere else, checks it, and does it again next week. Buying another tool before mapping that sequence usually adds one more place to copy from.

Use your own numbers. Do not borrow a benchmark. annual labour cost = people × minutes per run ÷ 60 × runs per year × loaded hourly rate annual exposure = annual labour cost + rework + delay + missed-opportunity cost
01

Data re-entry

The same information typed into two systems

Customer, product, job or finance data leaves one system and is manually re-entered into another. The work feels small because each transaction is small; the volume is what makes it expensive.

Countrecords per week
Timeminutes per record
Riskcorrection rate

Seen in client work: synchronising product and customer information across Webflow, Airtable and Salesforce for Merchgirls.

02

Recurring reporting

A good employee rebuilds the same report

Exports arrive from several tools. Someone cleans them, applies the same logic, formats the same tabs and sends the result to the same people.

Countreports per month
Timehours from export to send
Delaydecisions waiting

Seen in client work: subscription and skip-cycle reporting pulled directly from Recharge for Knobby.

03

Quoting

Every quote starts from a blank page

Requirements are gathered by email, pricing is found in several places, exceptions live in one person's head, and the finished quote is manually assembled.

Countquotes per month
Timetouch time per quote
Leakslow-response losses

Deletion pattern: structured intake, governed pricing logic, approval thresholds and document generation - without automating judgement that belongs with a person.

04

Follow-up

The next action depends on someone remembering

Leads, approvals, documents or renewals stall because the follow-up is buried in an inbox or owned by nobody after a handoff.

Countopen items
Delaymedian days idle
Valuerevenue at risk

Deletion pattern: define the state change that should trigger the next action, then make exceptions visible instead of automating silence.

05

Order or job processing

A sale creates an internal relay race

Once an order or job is confirmed, staff copy details into delivery tools, create folders, notify people, request assets and update the customer manually.

Countjobs per month
Handoffspeople and systems
Failuremissed setup steps

Deletion pattern: one confirmed event creates the delivery record, tasks, folders and notifications, with a human checkpoint for exceptions.

06

Multi-platform synchronisation

Three systems disagree about the same thing

Products, memberships, contacts or inventory are maintained in more than one platform. Staff become the integration layer and uncertainty becomes normal.

Countshared fields
Driftconflicts per month
Ownersource of truth

Seen in client work: a 500-plus product catalogue operating across Webflow, Airtable and Salesforce for Merchgirls.

07

Reconciliation

Two sources must agree before anyone trusts either

Subscription, payment, membership or finance data is compared manually because neither system carries the complete operational truth.

Countlines reconciled
Timehours per cycle
Impacterrors found late

Seen in client work: Recharge subscription reporting for Knobby and member access administration for the Mint Directors Association.

Rank before you build

Score each workflow from 1 to 5.

Factor15
FrequencyOccasionalDaily or continuous
LabourMinutesSeveral people or hours
Rule stabilityEvery case differsSame rules repeat
Error consequenceEasy correctionCustomer, cash or compliance impact
Access readinessClosed systemsReliable API/export access

Start with high frequency, high labour, stable rules and available data. Keep judgement-heavy, rare or badly defined work out of the first automation.

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