From conversation to insight: what do you do with a mountain of data?

From conversation to useful insight

With Dino Care's digital assistant, you can conduct conversations at scale. The digital assistant can call clients for a client satisfaction survey or regularly ask how they are doing and how they experience their care. This means you can collect much more information from conversations in a short period than was practically feasible before. But that creates a new challenge.

What do you do with all that information when you can no longer see the forest for the trees?

Hundreds of conversations can produce thousands of answers, comments and signals. People talk about communication, planning, accessibility, satisfaction and many other topics. Some answers are one-off; others keep coming back. The challenge therefore shifts from collecting information to finding meaning in information.

Take a client satisfaction survey. A client may not just give communication a seven, but say:

'The care itself is excellent, but I never really know what time someone will arrive.'

That explanation tells you much more than a score alone. It contains information about satisfaction, communication and possibly a bottleneck in planning. The Dino Care platform can help structure this kind of information from conversations. Not by simply summarising a conversation, but by recognising relevant information and placing it under topics that matter to the organisation. For example, scores, recurring topics, notable answers and the explanations behind them can be extracted from conversations. The original context remains important. A number tells you what someone thinks. The explanation often tells you why.

This creates a useful layer between the full conversation and a dashboard full of figures: from individual conversations to useful insights.

One conversation tells a story. A hundred conversations reveal patterns.

That is where it gets interesting. When dozens or hundreds of conversations are processed in the same way, the individual insights can be connected.

Perhaps clients are generally positive about personal contact with staff, but planning is mentioned as a bottleneck remarkably often. Perhaps accessibility comes up more often in this measurement period than in the previous one. Or perhaps a recurring topic emerges spontaneously, even though it was not specifically asked about beforehand.

The question then changes from: 'What did this client say?' to: 'What are all these conversations telling us together?'

This makes trends, recurring themes and developments over time visible. And that is exactly where a conversation occupies an interesting position between a questionnaire and a personal interview. A questionnaire is easy to scale and compare, but offers little room to move beyond predetermined answer options. A personal conversation does offer that room, but is much harder to conduct at scale. The Dino Care platform combines both qualities: a fixed structure for every conversation, with the ability to ask follow-up questions when an answer gives reason to do so. The depth of a conversation, with the scalability of a questionnaire.

Sometimes the value lies in the exception

But when you only look at patterns, you can miss important information. Suppose 99 out of 100 conversations contain nothing unusual, but one client says that their situation has changed significantly since the previous conversation. That is not a trend for an organisation-wide report. For that client, it may be highly relevant.

That is why information from conversations can be valuable at two levels. At organisational level, you want recurring themes, results and developments to be visible. At individual level, you want to recognise relevant changes and notable answers that may deserve attention.

Sometimes the value lies in the pattern. Sometimes it lies in the exception.

From insight to action

Ultimately, even insight is not the end goal. If dozens of conversations show that clients are experiencing structural problems with planning, you want to use that information to improve the process. If one recurring client conversation shows that someone's situation has changed, that may instead be a reason to look at that individual situation more closely. This ultimately creates a simple chain:

The digital assistant helps conduct conversations and collect information. The Dino Care platform then helps add structure, make patterns visible and bring relevant signals to the surface. People ultimately decide what to do with those insights.

Not more information, but a better sense of what matters

The ability to conduct hundreds of conversations is not, in itself, the interesting part. Writing out hundreds of conversations is not the end goal either. The value emerges when all those conversations make visible what keeps coming back, what changes, what stands out and where attention is needed.

That is also how we at Dino Care look at conversations: not as a final product, but as a source of information that can help organisations make better decisions and take more targeted action. Because ultimately, we do not want to burden healthcare organisations with even more information.

We want to help healthcare organisations see sooner where action is needed.