Engagement models
Compare how talent and delivery can join your team
Clear contrasts between staff augmentation, dedicated teams, and project delivery so you can match ownership to the work, not the pitch.
Choose with intent
Model choice is an ownership decision
Compare delivery shapes before you scale seats—so scope, cadence, and handoff stay honest from week one.
- 01Name the jobEmbed capacity, own a slice, or ship a scoped release.
- 02Compare openlySide-by-side models without invented logos or theater.
- 03Start cleanWritten decisions transfer when people or vendors change.
Two decisions
Pick the comparison that matches your next question
Path A
Staff Augmentation vs Project Delivery
Choose between embedding engineers in your process or handing SolveMotive a scoped build with clear delivery ownership.
Staff augmentation · Project delivery
Read comparisonPath B
Dedicated Team vs Staff Augmentation
Compare a focused SolveMotive pod that owns a workstream with individual contributors embedded into the squads you already run.
Dedicated team · Staff augmentation
Read comparisonHow to choose
Match the model to ownership and uncertainty
Choose staff augmentation
When you need seats inside an existing squad, process, and backlog you already own.
Choose a dedicated team
When a workstream needs a stable pod with shared rituals, but you keep product direction.
Choose project delivery
When scope, milestones, and handoff can be defined up front and owned as a delivery outcome.
Common questions
Engagement model questions
How to choose project, dedicated team, or staff augmentation.
What engagement models can we compare?
Compare pages contrast staff augmentation vs project delivery and dedicated team vs staff augmentation so you can pick ownership, speed, and commercial shape deliberately.
Which model is cheapest?
The lowest invoice is not always the lowest cost of delay. We recommend the model that matches decision rights, codebase ownership, and how fast you need a reviewable increment.
Can we change models mid-engagement?
Often yes after a checkpoint. Many teams start with a scoped slice, then add capacity or a dedicated pod once the boundary is proven.
Still stuck on a specific constraint? Book a scoping call →