Alexey Shurov.
Worksheet

The one week order entry workload tracker

Before anyone prices automation, measure one normal week. This sheet shows how many orders arrive, how often each one is handled, and why they wait.

Updated 12 October 2026 . 5 min read . Alexey Shurov

The short answer

Before anyone prices automation for order entry, measure one normal week. Count how many orders arrive, how many times each one is handled, how long it waits before it is entered, and how often it is corrected afterwards. Those four numbers tell you whether the work is worth automating and where the time really goes.

Most teams guess, and the guess is usually typing time. Typing is the smallest part. Waiting for a missing detail, looking up a code and fixing a wrong line are where a week goes. This sheet makes them visible in five working days, with no software.

1. Pick one ordinary week

Choose a week without a holiday, a price change or a stock take. One ordinary week is more honest than a month of estimates.

Tell the team why. The sheet measures the work, not the people. If people think they are being timed, the numbers will flatter.

2. Log every order once, when it arrives

One row per order. Write the time it landed and how it arrived, as email text, a PDF, a spreadsheet, a portal or a phone call. It takes seconds, and it is the step teams skip.

3. Mark each touch

A touch is any time someone opens the order to do something with it. Reading it, asking the customer a question, looking up a code, typing it in, fixing it later. Add one each time.

A clean order has two touches. Five or more means something is missing before the order reaches the desk.

4. Give every wait and every fix a reason

Use a short fixed list so the week can be counted. Missing item code, unclear quantity or unit, price query, account query, stock query, duplicate, other. Free text cannot be added up on Friday.

5. Add it up on Friday

Count the orders and the lines. Work out the average touches, the share entered more than an hour after arriving, and the share fixed after entry. Then count the reasons. The top two reasons are your real project.

The blank sheet

One row per order, filled in as the week goes. Keep it where the orders are handled.

Order refArrived (day, time)How it arrivedLinesTouchesEntered (day, time)Fixed after entry (yes or no)Reason for wait or fix
        
        
        
        

Download this sheet as a file for Excel

A worked example

Made up example. Every row here is made up to show the method. Northfield Fixings does not exist.

Order refArrived (day, time)How it arrivedLinesTouchesEntered (day, time)Fixed after entry (yes or no)Reason for wait or fix
NF-1041Mon 08.12Email text62Mon 08.31No 
NF-1042Mon 08.40PDF234Mon 11.05NoMissing item code
NF-1043Mon 09.15Spreadsheet583Mon 10.02YesUnclear quantity or unit
NF-1044Mon 10.30Email text45Mon 15.20NoPrice query
NF-1045Tue 07.55PDF122Tue 08.20No 
NF-1046Tue 09.05Email text94Tue 13.40NoMissing item code
NF-1047Tue 11.20PDF233Not enteredNoDuplicate of NF-1042
NF-1048Wed 08.03Spreadsheet412Wed 08.44No 

Download this sheet as a file for Excel

How to read the week

If most orders have two touches and none wait, the work is already cheap. Automating it would save typing and little else. Say so and move on.

If a third of the orders wait for a missing code or a unit, the hold up is matching what the customer wrote to what you sell. That is the part worth automating. It is also the part a simple document reader cannot do on its own.

If fixes after entry are common, look at what was wrong. A wrong quantity or unit points at pack sizes. A wrong item points at customer part numbers. Each has its own remedy.

What can change the answer

One very large order can swamp the averages. Note it, and look at the week with and without it.

Seasonal businesses should run the sheet again in a busy week. The reasons for delay often change when the volume doubles.

When this is the wrong tool

If orders already arrive through a portal or a link that writes straight into your system, there is little to measure here. Look at the orders that fall outside it instead.

If the team is three people and thirty orders a week, you probably know the answer already. Spend the hour fixing the top reason by hand.

What the four numbers tell you

NumberHow to work it outWhat it tells you
Orders and lines a weekCount the rows and add up the linesThe size of the job. Lines matter more than orders
Average touchesAdd up the touches and divide by the ordersHow much handling an order needs beyond typing
Share that waitedOrders entered more than an hour after arriving, divided by all ordersHow often something outside the desk holds an order up
Share fixedOrders fixed after entry, divided by all ordersHow often a mistake reaches your system

What to do with the result

Take the four numbers and the top two reasons to whoever would build or buy the automation. A supplier who cannot say how they would handle your top reason has not understood your orders.

If you want a second opinion first, the five question check on this site takes the same facts and gives a plain answer in two minutes.

Client result . Distribution
10 → 1
About 90 percent less manual work, over 95 percent line accuracy
People needed for order entry at a wholesale distributor, client-confirmed.
Read how the system works

Common questions

How long should I track order entry before deciding on automation?

One ordinary working week is enough for a first decision. It shows the volume, the handling and the main reasons for delay. Run a second week only if the first was unusual, for example a holiday week or a week with one very large order.

What should I measure before automating sales order entry?

Four things. How many orders and lines arrive, how many times each order is handled, how many are entered more than an hour after arriving, and how many are fixed after entry. Then the reasons for the waits and the fixes.

Does the tracker need any software?

No. A shared spreadsheet or a printed sheet by the order desk is enough. The value is in logging each order when it arrives and marking each touch, which no software can do for you in the first week.

What counts as a touch?

Any time a person opens the order to do something with it. Reading it, asking the customer a question, looking up a code, typing it in, or fixing it later. Counting touches shows the handling that typing time hides.

What if the numbers show automation is not worth it?

Then you have saved the cost of a project. If orders are few, clean and rarely fixed, deal with the top reason for delay by hand and look again in six months.

Check your own customer orders in two minutes

Five questions about how the work reaches you and how it is checked. You get a plain answer on whether it is worth automating, with no sign up. Start with question one. Or tell me about the work and I will reply myself.

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