Index
Shipping material and receiving orders are distinct events. Reports can relate them analytically but must not claim samples caused sales without evidence. Define applications, cohorts and observation periods.
Choose the operating model before requesting a quote
Compare technical-feedback rates with later order associations. Feedback measures follow-through; orders reveal commercial continuity. Silence does not prove technical rejection, and open evaluations must remain visible. Do not collapse several applications from one contact into one sample.
Sample applications can change before purchase, requiring relationship review. Preserve initial hypotheses and actual feedback rather than assigning causality simply because orders followed. Buyers may already negotiate other products; analytical layers show observed associations and their limitations instead of automatically proving that sample shipment caused a later commercial decision.
Requirements to include in the proposal
- Link sample identities to correct applications and dispatch events
- Separate technical evaluations from later account-associated purchase orders
- Explain pending cases and causal limitations in commercial analysis
An acceptance test for this specific purchase
Simulate two hypothetical samples for different uses, one assessed and one pending. Preserve relationships and show linked purchases only where identifiable, without duplicating orders or turning silence into satisfaction.
Reference for assessing scope
Official documentation for evaluating this scope
Prepare your project with Quantum9
Bring Quantum9 the current process and an anonymized example of this issue. Discovery compares available configuration with necessary development and defines a scope your operations team can actually verify.