By Aletta Pinto, Consultant, bpmd
Customer feedback is everywhere. Surveys, support tickets, emails, chat transcripts and review comments. Most organisations collect large volumes of it, yet very little of it is used in a way that supports structured business process improvement and customer experience optimisation.
This creates a disconnect. Customer service KPIs such as resolution time, repeat contact rate, satisfaction scores, and complaint volume are tracked closely. But the feedback explaining why those numbers move is scattered across tools and teams. Insight exists, but it is fragmented, slow to interpret, and rarely connected to the actual flow of work. As a result, organisations know they have a customer experience problem but struggle to pinpoint where it starts. Issues are discussed cumulatively, rather than at the process step where customers feel the pain. This disconnect often prevents effective end-to-end process optimisation and data-driven customer journey analysis.
Many organisations already use SAP Signavio Process Intelligence for process mining and operational performance analytics to visualise cycle time, rework, and bottlenecks. However, without a clear connection to customer sentiment, teams can see what is happening but struggle to explain why.
A dashboard might highlight a delay in order fulfilment, but it won’t tell you that the delay is causing a 40% spike in “Negative Sentiment” because customers feel ignored during the waiting period. When feedback sits outside the process, you aren’t just missing insights, you are actually delaying improvement.
This is where the AI-assisted context analyser in SAP Signavio Process Intelligence, powered by artificial intelligence for process mining, shifts the pattern. It uses AI to interpret unstructured feedback and anchor it directly to specific process steps.
At its simplest, two capabilities make this possible within your mining workspace:
- AI-driven Sentiment analysis – Automatically categorises free-text feedback (from emails, surveys, etc.) into positive, negative or neutral sentiment. This is no longer a separate report; it becomes a data attribute within your event log. You can then filter your process map to see the “Unhappy Path” versus the “Happy Path.”
- Text-to-event matching – This is the “magic” of the module. The AI recommends links between free-text comments and the specific events in your logs that generated them. Rather than manually guessing where an issue occurred, the AI maps a complaint like “I was overcharged” directly to the ‘Manual Price Change’ step in your ERP.
What makes this valuable is not text analysis on its own, but the fact that feedback is anchored directly to the process. Analysts and process experts can explore customer sentiment in the same view they use for process mining and business process performance analysis, making it easier to understand not just where delays occur, but how those delays are experienced.
Without this connection, a team might know that order fulfilment slows at a particular step, but not that a large share of negative feedback mentions “no update after placing order” and that frustration begins earlier in the journey. This matters because experience is now part of the process.
In practice this means:
- Seeing sentiment trends directly in process dashboards so you spot stages where customers are consistently unhappy.
- Prioritising changes where experience and execution both signal friction, not just where performance metrics spike.
- Reducing time from feedback to action by analysing unstructured data without exporting it to separate tools. This accelerates continuous process improvement and digital transformation initiatives.
When feedback is treated as a separate artefact, a blind spot forms. The gap between throughput optimisation and customer satisfaction will only grow.
SAP Signavio’s AI-assisted context analyser closes this gap. It turns process models into living mechanisms for empathy and efficiency, allowing business leaders to make decisions based on how work is performed and how it is experienced.
Ultimately, the most valuable process isn’t the one that is fastest on paper, it’s the one that delivers a seamless experience for the person at the end of the chain.