Signals for Action
Intelligence integrated into your production cycles.
Most data-driven communication fall into one of two traps. Either they flood the world with raw data nobody can use, or they slow themselves down trying to hand-craft every public message.
Neither approach works at scale. Raw dumps don't build understanding. Hyper-curation chokes participation.
Strong communication systems create a middle layer: a way to surface real material, shape it enough to be useful, and leave space for people to act with their own voice.
Example Workflow
- 📰 Identify key sources (blogs, newspapers, podcasts) followed by team members
- 🛠️ Build a tool that collects articles and analyzes emerging topics
- 🚩 Flag new trends early (e.g., political discussions shifting toward "abundance")
- ✍️ Prepare key discussion points to sharpen internal focus
- 🗣️ Team members pick up topics and write in their own voice while the momentum is real
The system doesn't automate authorship. It amplifies attention and lowers the barrier to contribution.
Deciding Where to Slow Down
Some teams prefer to automate discovery: pulling in signals from the outside world.
Others prefer to automate production: repackaging long-form material into short, repeatable formats.
Neither choice is right by default.
The key is deciding:
- Where do you trust automation to support you?
- Where do you want human attention, judgment, and ownership?
- Where does slowing down create more value than moving fast?
Or to condense it into a single question, what does your team need to produce the best content for its audience?