Analysis as a step, not a checkpoint
In many programs analytical testing sits at the end of each formulation iteration, confirming or rejecting what has already been made. That sequence can work, but it often means that useful information arrives after the next decision has already been taken.
Building a feedback loop
When analytical and formulation work are planned together, results from one iteration can directly shape the next. Method development, characterization and early stability data then become inputs to formulation choices rather than a record of them.
The value of a result depends on when it arrives.
What to align early
Agreeing early on which attributes matter most, which methods will measure them and how results will be reviewed helps keep both workstreams moving in the same direction.
- Critical quality attributes for the intended product
- Methods suitable for the development stage
- A review rhythm that matches formulation iterations
