Live blogging my work at FlockData

FlockDataFlockData is going through the startup journey

The journey is a long and complex one. It’s a mix of:

  • Long nights and sometimes lost weekends
  • Interesting conversations, but also difficult conversations and some that lead absolutely nowhere
  • Trying to talk to as many of the “right” people as possible. I put “right” in quotes because frankly, we don’t always know who these people should be.
  • Finding great projects with companies, non-profits, social organizations, media organizations and others who are looking at ways to learn more from disconnected data sets that span systems
  • Working through those projects to refine what the product needs, has and will have
  • Stress, excitement, satisfaction, relief… basically almost every emotion, in large quantities all at once

I’ve been spending some time also reading and listening to information about startup journeys from places like Gimlet Media and GrooveHQ. I’ve recognized so many of the conversations and challenges identified there. I’ve been through them myself, both with FlockData and with other companies.

How is FlockData’s journey different?

In truth, a lot of it isn’t different. This is why the lean startup movement has validity – startup companies go through many of the same challenges again and again.

  1. Identify a problem you believe exists
  2. Start 2 parallel tracks: customer discovery/development and MVP (minimum viable product) development
  3. Refine the product via those discussions with customers
  4. Change the company vision, messaging, marketing, branding, pricing, etc as necessary
  5. Lather, rinse, repeat

Of course, this is a set of guidelines, and YMMV (your mileage may vary).

But what is unique about FlockData’s journey is what makes it specific to FlockData – namely the problem itself, the conversations we have, and what we learn. We’re going to start sharing what we can on the FlockData blog. If you’re looking at interesting questions around data integration, logical data warehouse structures, data workbench and information management platforms, maybe you’ll find it interesting. For us, it’s about learning and sometimes the best way to learn is to think about what you’ve learned, summarize the messages in your own head, figure out what you can (and cannot) share, and then do that. We hope you’ll find it useful.