When a spreadsheet
becomes the bottleneck.

Signs the process needs attention

• No clear current version: people send copies around or disagree about which record is up to date.
• Access is too broad: different people need different permissions, but the working arrangement does not reflect that.
• Progress depends on chasing: statuses exist, but someone still has to ask who should act next.
• Errors are hard to trace: a formula or edit changes an outcome and nobody can easily explain what happened.
• Reporting creates another job: people copy the same figures into separate files before they can review them.

These signs are prompts to investigate, not proof that you need bespoke software. A clearer process, better use of your current tools or a suitable standard product may solve the problem.

When keeping the spreadsheet makes sense

A spreadsheet can remain appropriate for one-off analysis, exploratory calculations or a small process with straightforward ownership. The ability to change a model quickly is valuable when the questions themselves are still changing.

Before replacing it, identify which parts are analysis and which parts are operational records. You may want a system to manage the records while retaining spreadsheets for analysis using an agreed export.

Map the workflow before choosing a replacement

Choose a real example and follow it from creation to completion. Who adds information? Who checks it? What causes a handover? What happens if it is incomplete or needs correction?

Record the decisions and rules that live in people’s heads as well as the columns in the sheet. Recreating the columns in a web form will not, by itself, clarify responsibility or remove repeated work.

An internal tool may suit a focused task. A shared cloud system may suit connected operational records. A supported integration may help where information already belongs in another product.

Plan a controlled move

1. Define the records. Agree what each row represents, which fields matter and how records will be identified.
2. Check the data. Find duplicates, missing values and inconsistent labels before importing them.
3. Decide what to retain. Separate active records from historical material and agree how each will be accessed.
4. Test a sample. Check totals, relationships and useful searches with representative records.
5. Set the handover. Decide when updates stop in the old sheet, who checks the final transfer and what the fallback is if something goes wrong.

A period of parallel checking may be useful, but be explicit about which system is authoritative. Two editable sources can recreate the confusion you are trying to remove.

An example: moving a shared job tracker

Imagine a team using a spreadsheet to track jobs, with one row per job and separate emails for updates. A replacement might give each job an owner, a status and a record of the information needed at each stage.

Before choosing features, check the unusual cases: a job is cancelled, split into two, reopened or reassigned. Agree what information each case should retain. This illustrative example shows why the rules around a record matter as much as the fields it contains.

Define what an improvement would look like

Choose a small number of observations you can compare before and after the change. These could include how often people have to re-enter details, how long it takes to find the current status or how many records need correction.

Also check whether the team understands the new process and can resolve mistakes. A system that records more data but is harder to use may not deliver the improvement you wanted.

If you are weighing up a standard product against a custom build, read our bespoke versus off-the-shelf comparison. To discuss the workflow itself, tell Fission Ventures what is getting in the way.