Observe
Find out whether the work moved the number.
An observation is a question you keep asking, like paid groups by week or cost per demo by source, checked on your real metrics on a cadence and interpreted every time, with the next action spelled out.
How it works
- 1
Ask the question
Write the question and what success looks like, and link it to the Initiative it serves.
- 2
Choose the measures
Pick each metric, its filters, window, baseline, criterion and cadence.
- 3
It checks on schedule
Due checks run at a set time each day. Nothing runs, and no model is called, when nothing is due.
- 4
Read the interpretation
Each check saves the readings and says what changed, what it means and what to do next.
Questions
A question with success criteria
Each observation starts from a question and its success criteria, so every reading comes with the goal it is measured against.
- Several measures per question, each with its own baseline and criterion
- Linked to the Initiative and its target
- Check now, or inspect a range without moving the schedule
Interpretation
What it means, and what to do next
Every check saves an immutable snapshot and an interpretation with a headline, takeaways and a next action. Conflicting findings stay visible instead of being averaged into one score.
- A headline, takeaways and the next action
- Snapshots that never change after the fact
- Notify on important changes, every check, or never
Honest data
Numbers you can trust
Readings come from the metrics your company exposes, with their definitions. Missing or immature data is labeled, never filled in.
- Missing values stay explicit, never zero
- Adaptive cadence never changes targets or criteria
- After downtime, one overdue check instead of a replayed backlog
Where it stops for you
Runs on its own
- Runs due checks at the set time each day
- Saves snapshots and writes the interpretation
- Adjusts its cadence when you allow it
- Notifies you by the rule you chose
Waits for you
- Changing a target or success criterion
- Acting on the next action it proposes
- Ending or pausing an observation
What it works with
Reads
- Your business metrics
- Metric definitions
- Initiative targets
- Insights comparisons
Produces
- Measurement snapshots
- Interpretations
- Next actions
- Notifications
Where founders use it
After a launch
Keep checking the number the Initiative promised long after the work ships.
Channel decisions
Compare cost per demo by source every week and see where the next dollar should go.
A metric that slipped
Start an Initiative straight from the reading that worries you.
How it compares with a BI dashboard
In the Tablebird launch
Every channel judged against the same goal.
Groups on paid plans, demos by source, cost per demo, all measured against the 15 groups in the plan. When referrals beat paid ads, it proposes where the budget should go next.
Follow the whole launchWhat people ask
- Where does the data come from?
- A business-metrics connection your company exposes to Boardbox. Observe never invents a reading.
- How often does it check?
- On the cadence you set for each measure, at a set local time each day, or adaptively within limits you allow.
- What if a metric is not available yet?
- It says so. An Initiative can plan the Build work that exposes it.
- Does a good reading prove the Initiative worked?
- A check measures the number and shows its evidence. Whether the work caused the change is your call.
- Is it a dashboard builder?
- No. It answers the questions your Initiatives need answered and tells you what to do next.
How it connects to the rest of the company
Every capability reads the same Library and reports into the same Initiatives.
Early access · macOS
Run your next launch from one conversation.
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We email you once, when your seat is ready.