Digital Transformation Through Migration Dry Runs: Proving You Can Move Before You Must
Most UK founders and operators discover their real dependencies only when they try to move something. A spreadsheet of tools looks tidy until a migration reveals that a reporting dashboard reads from a field nobody documented, or that a customer export silently drops half the attachments. A migration dry run is a deliberate rehearsal that surfaces these gaps while the stakes are still low. This article sets out how to design one, what to measure, and which questions to ask before you move any real business process to a new system. The aim is not to promise a smooth cutover, since no general method can guarantee that, but to make surprises visible early enough to act on them.
Why a dry run belongs before any digital transformation step
Digital transformation projects tend to fail at the boundaries between systems rather than inside any single tool. A new accounts package may work perfectly on its own, yet break the invoice approval step that a colleague runs from a shared mailbox. A dry run exposes those boundaries by moving a representative slice of work through the proposed setup and observing what happens at each handoff.
A dry run also separates two questions that are often blurred together: whether the new system can hold your data, and whether your team can operate it under normal pressure. The first is a technical check. The second depends on training, ownership and timing, and it is usually the one that causes trouble. Treating the rehearsal as a test of people as well as software keeps both questions in view.
The cost of a dry run is modest compared with the cost of an unplanned rollback. It consumes some staff hours, a sandbox or trial account, and a few days on the calendar. The benefit is knowing, before the switch, which steps need rewriting, which contacts need warning, and which records need cleaning.
Choosing a representative slice of work
Pick one process that matters to the business and that touches the systems around it. Quarterly board reporting, new-customer onboarding, and supplier payments are common candidates because they cross several tools. Avoid choosing the simplest process, because it will tell you little about the difficult joins.
Within that process, choose a sample that includes awkward cases. A useful sample usually contains ordinary records, records with missing fields, records with corrections or refunds, and at least one item that a team member had to handle by hand last time. If you only rehearse with clean data, you will learn that the clean data works.
Write down the sample before you start. A short list of record identifiers, the expected outcome for each, and the person responsible for checking it is enough. Recording expectations in advance stops the rehearsal from turning into a loose exploration in which every result looks acceptable afterwards.
Running the rehearsal in a controlled setting
Use a sandbox, trial workspace or separate test environment wherever the vendor provides one. If none is available, create a copy of the data in a restricted location and be explicit about who can access it. Do not point a rehearsal at live customer channels, because automated emails, syncs or notifications can reach real people during a test.
Document each step as it happens. Note the time taken, the clicks or commands required, any manual workarounds, and any message or error that appeared. A simple table with columns for step, owner, duration, outcome and notes is often enough. The goal is evidence you can review, not a verbal impression that the trial went well.
Involve the people who do the work every day, not only the person who selected the tool. Operators tend to notice the missing shortcut, the field that must be copied by hand, or the approval that now needs a different login. Their observations are usually more useful than a vendor walkthrough.
Checklist for judging the results
After the rehearsal, answer a short set of questions before discussing whether to proceed. Did every sampled record arrive in the new system with its key fields intact? Were attachments, notes and history preserved, or did any category disappear? Can each output that leaves the process, such as an invoice, report or customer message, be reproduced with the same content and recipients?
Next, check the operational side. Could someone who was not in the rehearsal follow the written steps? How long did the process take compared with the current method, and does the new timing fit your deadlines? Who receives alerts when something fails, and do they actually check that channel?
Finally, ask the exit questions. If you needed to reverse this change next month, could you export the records in a usable format, and does the vendor's contract describe how your data is returned or deleted? Searching the terms for words such as export, retention and deletion is a sensible first pass, though a qualified adviser should review anything with legal consequences. Record the answers in a decision note so the reasoning survives staff changes.
Turning the dry run into a go or no-go decision
A dry run should end with a clear decision rather than a general sense of confidence. Three outcomes are typical. You may proceed with the change as planned, proceed with a list of fixes that must be completed first, or pause and reconsider the option entirely. Any of these is a legitimate result, and choosing to pause is often the most valuable outcome of the exercise.
If you proceed with conditions, assign each fix an owner and a date, and repeat the sampled records once the fixes are in place. A second short rehearsal is frequently enough to confirm that the problems were resolved rather than merely noted.
Keep the dry-run evidence after the change goes live. It becomes the baseline for comparison if something later behaves differently, and it gives new team members a concrete picture of how the process was designed to work. Digital transformation is a series of decisions, and a dry run is one of the simplest ways to make each of them deliberate.