Clarifying questions: What cost constraints? Geography exansion or existing teritory.
Primary metric: Acquisition related: New signups/day, DAU, WAU; Secondary metrics: Retention, Avg Order value
Users: Young adults looking to fulfil an immediate need (e.g. grocery item that they have run-out of at home) - current users
However they might have to acquire newer customer segments to double the customer base. They might have to target middle class in the 30-50 age range.
What job do customers hire Dunzo for? Get items to doorstep conviniently
User journey: 1. Realize that you need an item 2. Define/Plan how (e.g run to the store, order on AMZ for a later delivery etc.) 3. Execute (choose items, pay) 4. complete and get back to what you were doing earlier
A. Biggest friction point for consumer is step 3 above - it is time consuming and not an enjoyable activity
B. Biggest challenge for Dunzo is Step 2 above- they dont have customer's mindshare
Point B above would require the usual marketing, top-of-funnel conversion, marketing etc. However, a product moat can also be introduced: Since Dunzo is about hyperlocal discovery, the app can have a section similar to Google neighbourly (hyperlocal social network groups) where people can come and explore what is happening in their neighbourhood, ask other community members any questions, get their questions answered. The idea is by creating an information sharing section, more people would start using Dunzo - who can later be converted to commerce users. This will also help in network effects, and increase the user base.
Point A above would require making purchasing on Dunzo frictionless - maybe integrate with google home, voice assistant. Use coversational AI to understand items that people need. Use machine learning to figure out how to procure the items in the customers vicinity.
Some input merics I would measure post building the features above: How active are the hyper local chat group? Conversion from chat -> commerce, turnaround time to complete ordering etc