Configure how bets behave and communicate progress.
Bet Types
Segflow supports multiple bet types to help you represent different strategic layers. These types can be mixed across boards or used to standardize how your organization models work.
Common types include:
- Theme – High-level strategic focus areas.
- Objective – Desired outcomes that guide teams.
- Bet – The default type; a concrete strategic hypothesis or initiative.
- Experiment – Short, test-driven exploration of a hypothesis.
- Opportunity – Identified area for potential improvement or impact.
- Initiative / Solution / Activity – Implementation layers of your bets.
Choose the type that best reflects how your teams think and plan — Segflow’s relationships system connects them seamlessly.
Phases
Each bet moves through two key phases:
| Phase | Description |
|---|---|
| Discovery | Exploring, researching, and framing the opportunity. |
| Development | Actively implementing and executing the initiative. |
Phases make it easier to separate idea validation from delivery and communicate where your initiative stands.
Status
Statuses communicate the current progress of each bet.
| Status | Meaning |
|---|---|
| Idea | Still forming — early exploration or backlog item. |
| Next | Prioritized for upcoming cycle. |
| In Development | Actively being implemented or tested. |
| Learning Review | Complete and under evaluation. |
| Done | Fully completed, outcome captured. |
Confidence Levels
Confidence gives a quick read of health and trajectory.
| Level | Interpretation |
|---|---|
| On Track | Progress and results align with expectations. |
| At Risk | There are signals of delay or impact risk. |
| Off Track | The bet has deviated significantly or is blocked. |
Use confidence updates during check-ins to surface risks early and create organizational visibility.
Effort and Priority
Bets also include:
- Effort — Estimated amount of work (e.g., team weeks).
- Priority — Relative importance when comparing across initiatives.
These help inform trade-offs and capacity planning at the cycle level.
Measurement and Learning
When a bet is launched, it can be connected to metrics for automatic impact measurement. Segflow compares predicted vs. actual results to generate a learning score over time.
Each bet becomes a measurable hypothesis — enabling continuous strategic improvement.