> For the complete documentation index, see [llms.txt](https://bee-partners-1.gitbook.io/bee-the-machine-to-machine-learning-vector/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://bee-partners-1.gitbook.io/bee-the-machine-to-machine-learning-vector/insights/go-to-market-playbook/product.md).

# Product

### Product Traits we Seek Across Waves

**Dream big, but start small:** tackle the first “killer use case” and in parallel build flexibility into the product to one day solve a more generalized set of problems - this helps avoid getting locked down in a narrow industry niche. 

**Hyper focus on the customer, and find the right entry point to curry favor with frontline users** to stimulate adoption and effectively “land”​; a value proposition of a fully autonomous “big brother” will erode trust​.​ 

**Maintain discipline in your product roadmap:** be mindful of needless customization, and the time it takes to both land and service the customer… continue to ask, am I building a product or services business? Ask yourself, is this a process that “works”, or is it also one that meaningfully contributes to bottom line performance? 

**Develop alternative data capture strategies**, especially if you don’t secure a launch partner to supercharge your newly formed dataset. 

**Apply and integrate your data source(s)** into existing workflows to create performance differentials that move the needle.