Heroku Implementation: 30/60/90 IT Rollout That Sticks
Plan a practical Heroku rollout — owners, core IT loop, training, and adoption checkpoints — so the product becomes how the team actually operates.
Quick answer
Roll out Heroku in gated phases: freeze 90-day outcomes for IT operations or development platform, name an owner, configure the core loop, train the people who must update it weekly, then review adoption before adding automations or extra modules. Treat Heroku implementation as phases — not a feature dump in week one.
- Freeze 90-day outcomes
- Name an admin owner
- Days 1–30: core loop only
- Days 31–60: train weekly users
- Days 61–90: adoption review, then extras
Heroku rollout rules
- Job cluster first — Heroku is IT operations or development platform. Do not implement it as a different IT job cluster.
- Adoption before add-ons — If Harbor IT will not open the product weekly, extra modules will not save the rollout.
- Integrations are a phase — Research names Github and API access on the Heroku side — confirm the connectors your IT loop depends on.
- AI is optional — Research lists AI assistant and AI automation for Heroku.
Heroku 30/60/90
1. Days 1–30: core loop only
Configure seats or hosts for weekly operators, one core loop, and a required integration. Success looks like: complete one real IT job a non-admin can repeat. Worked example: Harbor IT (weekly operators) delays optional AI and extra modules until the core loop has a week of real use.
2. Days 31–60: train weekly users
Train the people who must update Heroku every week — not a one-time all-hands. Our snapshot records no trial length for Heroku — ask for an evaluation window in writing before you commit seats. Worked example: Harbor IT (weekly operators) includes one sceptic user in training so adoption risk shows up before go-live speeches.
3. Days 61–90: adoption review
Check whether the core loop is actually used. Only then add automations, extra modules, or AI. Worked example: Harbor IT (weekly operators) reviews tickets, deploys, or on-call pages (whichever matches IT operations or development platform) before expanding scope.
Heroku checklist
Bring these questions to every demo
Ask vendors to show the workflow live, not just describe it.
- 1Freeze 90-day outcomesMust-haves for IT operations or development platform before configuration sprawl.
- 2Name an admin ownerFields, users, and hygiene need a responsible party.
- 3Schedule adoption reviewCheck core-loop usage before adding automations.
4. Lock plan gates before phase two
Map must-have workflows to the Heroku plan that unlocks them — demos often run above the tier you can afford.
Worked example: Teams that want Salesforce-backed Cedar dynos with a published Basic list price always-on floor freezes must-haves on the qualifying tier before adding automations.
5. Measure adoption on the core loop only
Track weekly completion of the primary workflow — not logins alone. If Heroku is empty after 30 days, pause new modules and fix the ritual.
Worked example: Teams that want Salesforce-backed Cedar dynos with a published Basic list price always-on floor reviews completion rates before enabling AI add-ons.
6. Expand scope only after 90-day proof
AI surfaces on Heroku include AI assistant and AI automation. Turn on AI only after the core loop works without it.
Add automations, secondary hubs, or advanced reporting only after the core loop survives a full quarter.
Worked example: Teams that want Salesforce-backed Cedar dynos with a published Basic list price always-on floor schedules a 90-day review before buying add-on seats.
7. Lock plan gates before phase two
Map must-have workflows to the Heroku plan that unlocks them — demos often run above the tier you can afford.
Worked example: Teams that want Salesforce-backed Cedar dynos with a published Basic list price always-on floor freezes must-haves on the qualifying tier before adding automations.
8. Measure adoption on the core loop only
Track weekly completion of the primary workflow — not logins alone. If Heroku is empty after 30 days, pause new modules and fix the ritual.
Worked example: Teams that want Salesforce-backed Cedar dynos with a published Basic list price always-on floor reviews completion rates before enabling AI add-ons.
9. Expand scope only after 90-day proof
AI surfaces on Heroku include AI assistant and AI automation. Turn on AI only after the core loop works without it.
Add automations, secondary hubs, or advanced reporting only after the core loop survives a full quarter.
Worked example: Teams that want Salesforce-backed Cedar dynos with a published Basic list price always-on floor schedules a 90-day review before buying add-on seats.
10. Lock plan gates before phase two
Map must-have workflows to the Heroku plan that unlocks them — demos often run above the tier you can afford.
Worked example: Teams that want Salesforce-backed Cedar dynos with a published Basic list price always-on floor freezes must-haves on the qualifying tier before adding automations.
11. Measure adoption on the core loop only
Track weekly completion of the primary workflow — not logins alone. If Heroku is empty after 30 days, pause new modules and fix the ritual.
Worked example: Teams that want Salesforce-backed Cedar dynos with a published Basic list price always-on floor reviews completion rates before enabling AI add-ons.
12. Expand scope only after 90-day proof
AI surfaces on Heroku include AI assistant and AI automation. Turn on AI only after the core loop works without it.
Add automations, secondary hubs, or advanced reporting only after the core loop survives a full quarter.
Worked example: Teams that want Salesforce-backed Cedar dynos with a published Basic list price always-on floor schedules a 90-day review before buying add-on seats.
Frequently asked questions
How long should rollout take?
Ninety days is enough for most SMB/mid teams if you freeze the job and defer extras. Longer programmes help when change management is the risk.
What if we also need a different IT job?
Buy the second job as a second product (or a later wave). Heroku should not be stretched into a different IT job cluster.
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