Phased Rollout -- Cohort Strategy

Mon, 01 Jan 0001 00:00:00 +0000

Phased Rollout – Cohort Strategy#

Principle#

Don’t light up 500 developers at once. Each cohort discovers different classes of issues and builds institutional knowledge for the next cohort.

Cohort 1: Power Users (25 developers, Weeks 5–6)#

Selection Criteria#

Hand-picked across 3–4 teams representing different technology stacks
Mix of senior engineers (who know the patterns) and enthusiastic mid-levels (who’ll push boundaries)
At least one developer per major codebase
Include developers who are already CLI/terminal-native

Objectives#

Validate infrastructure end-to-end (Bedrock routing, gateway, PrivateLink)
Test managed-settings.json enforcement – do the deny rules work? Does bypass mode stay disabled?
Write the first project CLAUDE.md and agent_docs/ files for their repos
Co-create the initial 5–8 org-wide skills based on real workflows
Become internal champions who can support Cohort 2

Expected Discoveries#

Bedrock inference profiles required for on-demand usage (common first gotcha)
Prompt caching behavior differs from direct API
Some model versions lag behind on Bedrock
Specific CLAUDE.md instructions that Claude follows well vs. ignores
MCP servers that are most valuable for the org’s toolchain
Skills that need more or fewer steps than initially designed
Edge cases in deny rules (false positives blocking legitimate work)

Success Metrics#

All 25 developers able to use Claude Code through the enterprise infrastructure
At least 3 project CLAUDE.md files written and reviewed
At least 5 org-wide skills tested and iterated
Zero security policy violations (deny rules holding)
Qualitative feedback: “This makes me faster” vs. “This gets in the way”

Platform Team Commitment#

Daily Slack channel for issues during first week
30-minute stand-up twice per week with Cohort 1
Same-day turnaround on configuration issues

Cohort 2: Full Teams (100 developers, Weeks 7–9)#

Selection Criteria#

Expand to complete teams (beyond individual developers)
Include at least one team that’s skeptical – they’ll surface real objections
Include the team with the most complex codebase

Objectives#

Stress-test the LLM gateway’s rate limiting and budget model
Validate that team-level CLAUDE.md and skills work across a full team
Discover the actual cost model (tokens per developer per day)
Instrument OpenTelemetry metrics

New Infrastructure Requirements#

Gateway rate limiting tuned based on Cohort 1 usage patterns
Per-team token budgets configured
CloudWatch dashboards showing per-user token consumption, latency percentiles, error rates
Cost allocation tags in AWS for team-level billing

Expected Discoveries#

Real-world token consumption rates (expect 50K–200K tokens/developer/day depending on usage intensity)
Teams that use Claude Code very differently (some use it for code gen, others for review, others for documentation)
Teams that need different model access (Opus for architecture work, Sonnet for routine coding)
Edge cases in project CLAUDE.md that only surface with diverse usage patterns

Success Metrics#

Gateway handles 100 concurrent developers without latency spikes
Per-team budgets prevent runaway costs
At least 80% of developers reporting increased productivity
Zero infrastructure outages
Cost model validated and predictable

Platform Team Commitment#

Slack channel continues, monitored 8am–6pm
Weekly office hours for questions
Bi-weekly feedback surveys

Cohort 3: Full Organization (375 developers, Weeks 10–12)#

Prerequisites (Must Be True Before Launching)#

Gateway proven at 100-developer scale
Managed-settings.json deployed to all developer machines via Mobile Device Management (MDM)
Internal documentation written by Cohort 1 champions
Onboarding guide tested with Cohort 2 (developers who weren’t hand-picked)
Cost projections validated and approved by finance
CISO sign-off on the security architecture still current

Rollout Approach#

Department-by-department, not all-at-once
Each department gets a 15-minute onboarding session led by a Cohort 1/2 champion
Self-service documentation available for async onboarding
Platform team monitors gateway metrics for capacity issues

Expected Discoveries#

Long-tail support issues from developers with non-standard setups
Teams that need custom skills not anticipated during Cohort 1/2
Organizational patterns in how different teams use Claude Code
Real productivity data at scale for leadership reporting

Success Metrics#

90%+ of developers have used Claude Code at least once within 2 weeks of access
Weekly active usage rate > 60% after first month
Support ticket volume declining (not growing) after first 2 weeks
Total cost within 10% of projection
No security incidents

Rollback Plan#

Principle#

Rollback is cohort-level, not all-or-nothing. If a cohort encounters serious issues, pause that cohort while earlier cohorts continue operating.

Phase 2: Phased Rollout on Claude Code Wiki

Phased Rollout -- Cohort Strategy

Phased Rollout – Cohort Strategy#

Principle#

Cohort 1: Power Users (25 developers, Weeks 5–6)#

Selection Criteria#

Objectives#

Expected Discoveries#

Success Metrics#

Platform Team Commitment#

Cohort 2: Full Teams (100 developers, Weeks 7–9)#

Selection Criteria#

Objectives#

New Infrastructure Requirements#

Expected Discoveries#

Success Metrics#

Platform Team Commitment#

Cohort 3: Full Organization (375 developers, Weeks 10–12)#

Prerequisites (Must Be True Before Launching)#

Rollout Approach#

Expected Discoveries#

Success Metrics#

Rollback Plan#

Principle#