Logistics Product Design: Plan Shipment Notifications by Audience, Trigger and Channel

You are the product manager responsible for notifications at a logistics company. Explain how you would plan and roll them out: who should receive notifications, which events should trigger them, which channels they should use and how often they should arrive. Describe the first version you would build and how you would judge whether it works. ```hint Follow one package Trace a single shipment from the moment its label is created to the moment it is delivered or fails. Mark the events that change what someone should do next, and for whom. ``` ### Clarifying Questions - What kind of logistics business is this: a parcel carrier, a last-mile delivery partner for online stores, a freight and trucking operator, or a warehousing and fulfillment provider? - Who should receive notifications: the businesses that ship with the company, the people receiving packages, internal staff such as drivers and dispatchers, or all of them? - Does the company send any notifications today, and does it have its own app, or only SMS, email and the shippers' own channels? - Which outcome matters most: fewer failed deliveries, fewer "where is my package" support contacts, or keeping shipper customers? ### What a Strong Answer Covers - A clear framing of the business and a reasoned choice of audience, tied to the outcome notifications should change - A map from shipment events to notifications that separates routine updates from exceptions that need action - Channel, timing, frequency and preference design, including consent, quiet hours and whose brand sends the message - Dependence on tracking and arrival-time data quality, and how the first version is scoped and rolled out - Success metrics with guardrails such as opt-outs, messaging cost and delivery-window accuracy ### Follow-up Questions - Scammers send fake delivery texts. How would you keep real notifications trustworthy and easy to tell apart? - A large shipper wants every update sent under its own brand. How would you support that, and what do you give up? - Your arrival-time predictions are often wrong. Do you still promise a delivery window, and if so, how?