2020
Augmented Synthesis and Analytical data-based Process development
INITIAL SITUATION
ASAP describes an algorithm that is used to analyse and optimise chemical experiments. In this section we focus on data collection and documentation of the experiments.
The ASAP approach is more than just a tool for data modelling. It will change the working mode for laboratories in chemical process development and analytical development. Digital data availability is expected to benefit drug development by allowing experiments to be planned and conducted more predictively based on the database.
This will allow laboratories to focus on highly beneficial experiments and process robustness will be achieved faster.
ASAP will change both daily lab work and meeting culture, because with structured data we can select and visualise all relevant data almost instantly to answer questions and draw conclusions.
The ASAP approach is more than just a tool for data modelling. It will change the working mode for laboratories in chemical process development and analytical development. Digital data availability is expected to benefit drug development by allowing experiments to be planned and conducted more predictively based on the database.
This will allow laboratories to focus on highly beneficial experiments and process robustness will be achieved faster.
ASAP will change both daily lab work and meeting culture, because with structured data we can select and visualise all relevant data almost instantly to answer questions and draw conclusions.
PROJECT PROCESS
The scope of the project was defined through structured interviews based on the JTBD approach, lab shadowing and a user journey workshop. This was followed by a low-fidelity paper prototype and a digital version for testing in the lab. The purpose of the quick tests was to test the acceptance and usefulness of tablets in the workplace.
After the first test in the lab, direct implementation was quickly started. For this purpose, the various procedures of the experiments were implemented piece by piece in close cooperation with the colleagues from Data Science and Frontend.
Parallel to the application for structured data collection in the lab, a dashboard, a tool for recipe creation and analysis, was developed.
Experience Map
Jobs-to-be-done approach | Service Blueprint | User Journey
DELIVERY
User Flows
Digitale Wireframes
Close collaboration with users through regular design reviews, interviews and job shadowing.
Aufbau eines Design Systems
TOOLS
