
Healthcare Software Clinicians Will Actually Use
Clinical software fails on click count, not features. Designing for short consultations, constant interruption and staff who will route around friction.
What we have learned shipping AI systems, SaaS platforms and industry software — including the parts that went wrong. Written by Purushottam Kumar Suman.

Ledgers, idempotency and daily reconciliation. The unglamorous engineering that separates fintech products that survive audit from those that do not.

Clinical software fails on click count, not features. Designing for short consultations, constant interruption and staff who will route around friction.

Getting data off the plant floor is the easy part. Turning it into decisions about downtime, yield and maintenance is where the value is.

Customers do not need a precise arrival time. They need one they can trust. Building ETAs that account for reality, and communicating uncertainty well.

Teachers are the most time-poor users in any system. Why tools that add preparation work fail regardless of quality, and what removing work looks like.

Overselling, dead capital and cancelled orders all trace to the same cause. Building a single authoritative stock position that every channel respects.

Straight-through processing for the simple majority, humans for the rest. Drawing the boundary so speed does not become an unmanaged liability.

Most agritech fails on assumptions about connectivity, literacy and device quality. Building for the conditions farmers actually work in.

Site software fails on ergonomics before it fails on features. Designing capture that takes seconds in sunlight, with gloves, offline.

Citizen services cannot choose their users. Designing for old devices, low literacy, multiple languages and people with no other option.

If one of these describes a problem you have,
bring it to a call and we will talk it through.