The wrong day to score an implementation
Go-live is a good day. The pipelines are right, the fields are agreed, the imports reconcile and the team is attentive because it is new. Sign off happens here, and it is a fair reflection of the build. It is a poor prediction of what the account looks like at the end of the quarter.
What follows go-live is not a second project but the absence of one. The consultants have left, the manager has moved on, and the CRM now competes with everything else in a working day. That competition is the real test, and it runs without supervision.
What happens in month three
Decay is not dramatic. A rep is late for a call and skips the note, meaning to add it later. A field that requires thought is left empty because the deal has to be saved now. A stage is skipped because the customer moved faster than the process allowed. None of it triggers a warning.
By month three the reporting reads a field that is half empty, and the first manager who notices asks why the report is broken. The report is fine. It is reading what the account contains. Then the second stage of decay begins, and it is the one that ends implementations: once a number is visibly wrong, people stop trusting the account, and once they stop trusting it they stop maintaining it.
Training is not adoption
Training is necessary and not sufficient, for a reason that has nothing to do with the quality of the trainer. It happens once, in a room, with nothing at stake. Adoption is decided on a Thursday afternoon, alone, with a customer waiting, when somebody cannot remember whether the agreement was to log the call against the person or the deal.
In that moment the options are to guess, to ask a colleague, or to skip it. Documentation loses to all three, because reading it means leaving the screen you are in. Guidance has to be where the hesitation is, or it takes no part in the decision. A second training session repeats content to people who understood it the first time.
Measuring adoption instead of hoping for it
Most teams that claim to measure adoption are counting logins. A login says a tab was opened. It says nothing about whether the record that mattered was updated, and it stays comfortably high while the data underneath rots.
Useful measurement follows the process instead of the licence. Are the fields your reporting reads filled, and by whom. Are activities logged against the record they belong to. Do deals change stage, or sit in one column while the real conversation happens elsewhere. The arithmetic behind those questions is on the adoption rate page.
Measurement has one prerequisite. It only works if the thing measured was agreed first. A field nobody was told to fill is not an adoption problem but a specification problem, and the fix belongs in the field design rather than in a nudge. Half the low adoption we are called about is a CRM asking for information the sales process never produces.
What we built for this
At Sales Surge we build software around Pipedrive, because implementation work kept running into gaps that configuration alone could not close, and this is the clearest of them. Guidance had to sit inside the interface, at the moment of hesitation, rather than in a document somebody would have to go and find.
Surge Adopt is our own product: a Chrome extension for Pipedrive that lays guidance over the existing interface. It does not replace the screen and it does not fork your account. It is published in the Chrome Web Store as Surge Adopt for Pipedrive, and described further on the Surge Adopt product page.
Across client accounts we measure adoption above 90 percent after delivery. That figure is ours, measured in accounts we built, and it is not a prediction about your team. It is why we treat adoption as part of delivery. An implementation nobody uses is a rebuild waiting to be quoted, and we would rather not sell the same account twice.
When you do not need this
Three situations where buying anything here is the wrong move. A team of three or four, where the manager sees every record and a conversation fixes what a tool would flag. An account where adoption is already visible in the data and somebody acts on it. And an implementation younger than a month, where you do not yet know which habits will slip.
There is a fourth case, and it is the one people most want to solve with software. If the team refuses the process rather than forgetting it, no overlay helps. Reliable refusal signals that the process asks for work the job does not contain, and the answer is to change what is asked. That is the redesign conversation in the six step method, and it is where a nudge makes things worse by treating disagreement as a memory lapse.
Our bias is on the record. We are a Pipedrive Platinum Partner, in the global top 8 since July 2026, and we build the products on this site ourselves. Read the sections about when not to buy them as seriously as the rest, starting with the full product list.
Questions
Is low adoption a training problem?
Rarely, and never only that. Training happens once, in a room, with nothing at stake. The moment that decides adoption happens weeks later, alone, when somebody cannot remember which field the agreement covered.
What should we measure instead of logins?
Behaviour the process depends on. Whether the fields your reporting reads are filled, whether activities are logged against the right record, whether deals move stage rather than sitting still. A login only proves the tab was open.
How is Surge Adopt different from a help centre?
A help centre waits for somebody to leave what they are doing and go looking. Surge Adopt is a Chrome extension that lays guidance over the Pipedrive interface itself, so it is present in the screen where the work happens.
Does the extension change our Pipedrive account?
It runs as a browser extension over the existing interface. Fields and pipelines stay as configured. That is also its limit: it guides people through the setup you have, and it cannot rescue a setup that asks for the wrong things.
When is a tool like this not worth it?
When the team is small enough that the manager sees every record, when adoption is already visible in the data, and when the people who see it act on it. Then the tool is a licence with no gap to close.