From the Front Line – Leading business transformation in Customer Success
Di Prime is a principal consultant at dForce, with considerable experience of deploying a variety of business applications into services businesses. Here she describes some lessons learnt from recently managing transformation projects in Customer Success.
In the past year I have led two implementations of a dedicated customer success solution. Both projects have given me cause to reflect on what makes a transformation project succeed, and on the impact that good tooling can have on a leader’s judgement and decision making.
Both client companies operate in the increasingly competitive subscription-based market, where future growth depends on retaining customers, reducing churn and identifying opportunities for expansion. Both had talented Customer Success Managers (CSMs) and strong customer relationships, but their approach to engagement lacked consistency. Customer outcomes were tracked in some areas but not systematically, with important information scattered across spreadsheets, SharePoint documents and personal notes. Different team members worked in different ways, making it hard for leaders to get a clear picture of customer health, progress towards goals, or renewal risk.
The executive teams recognised that Customer Success was integral to the wider business and embarked on transformation projects to mature the function and give the team the right tooling. They were also keen to embrace AI and could see the potential that it could offer, recognising that their leaders need better data to make better calls and that AI changes that calculus.
Overall, the goal was not simply to deploy a new application, but to deliver a transformation platform fit for the future, one that drives a more strategic approach to customer engagement, underpinned by greater visibility and measurable outcomes.
Mapping the journey
The first stage involved mapping and evaluating customer journeys across the full lifecycle, including onboarding, adoption, expansion and renewal, using real-world scenarios, to understand how customer interactions actually happened in practice.
This revealed an important truth, that successful engagement was often already taking place, it just wasn’t being captured consistently. The knowledge existed in people’s heads and in disconnected documents rather than in a structured, measurable process. By walking through real scenarios, the team defined what good looked like at every stage, then overlaid that onto the platform, designing a solution that reflected the reality of the business rather than an idealised version of it.
From a technical perspective, the implementation itself was straightforward. The harder task was helping the organisations translate customer conversations into structured objectives, actions and measurable outcomes, the data foundation the business would come to rely on.
Leading the change
Many Customer Success professionals are naturally relationship-oriented, skilled at understanding needs, building trust and solving problems. Introducing a structured platform asked them to adopt new disciplines such as documenting objectives, maintaining success plans and tracking progress. Where information had previously lived in someone’s spreadsheet or notebook, customer goals and outcomes were now visible to the wider organisation, a real shift in behaviour for some, but exactly the transparency business leaders required.
Some users initially saw the platform as extra admin. However, as they used it, they found success plans easier to manage and progress easier to track. Managers gained instant visibility into customer activity, and CSMs no longer needed to dig through historical notes to understand where a relationship stood.
Enhancing judgement
Customer Success has always involved judgement. The quality of a conversation or the strength of a relationship can’t always be reduced to a metric, but organisations can measure the indicators that support good outcomes. Are success plans progressing and Quarterly Business Reviews (QBRs) running as scheduled? Are milestones are being hit and risks being effectively managed?
These indicators don’t measure success in absolute terms, but they give leaders meaningful evidence that the right activities are happening at the right time, letting them spot trends and gaps and make decisions based on data rather than intuition alone. Technology provides the visibility and the metrics, but effective leadership still depends on human judgement. Instead of fragmented reports and anecdotal updates, leaders can see objectives, engagement levels, progress and early warning signs in one place, and act on them sooner.
A platform for the future
Now that the foundational systems are in place, they are actively assessing the best ways to deploy AI capabilities. Having a common, shared source of data for all their customer and operational data provides a valuable platform for further automation and enhanced decision making. In addition, this can subsequently be enriched with additional information from other sources, to extend these capabilities still further.
Plans are still taking shape, but it is likely that the first application will be automating the preparation of Quarterly Business Reviews. The ability to rapidly bring so much information together from across the customer lifecycle, will save a great deal of time, provide a better service to customers and further improve relationships.
But that is just the start and as platforms evolve, AI will identify patterns, highlight risks, predict churn and surface expansion opportunities earlier than manual analysis currently allows, with the potential to dramatically improve business performance.
So, to summarise
The most important lesson from this transformation is that a new Customer Success platform isn’t simply a new system. Yes it delivers efficiencies and better data quality, but it’s also the foundation for better decision-making, stronger customer relationships and more informed leadership, positioning the business to make smarter decisions today while building tomorrow’s capabilities.
That combination of technology and judgement is where the real value lies.