Turn Customer Success into your most reliable growth engine.

Business problem

Customer Success means something different to the CEO, the CRO and the CS team. Without a shared charter, the function absorbs every unowned task and its impact on revenue stays invisible.

Consulting intervention

• Executive interviews to surface expectations and tensions across the leadership team
• Assessment of current coverage, customer economics and retention drivers
• Definition of the CS mission, scope boundaries and revenue accountability
• A phased roadmap that sequences change against capacity and budget

Deliverables

• Customer Success charter
• Current-state assessment
• Strategic priorities and 12-month roadmap
• Executive alignment session

Business problem

One-size-fits-all coverage means high-value accounts are under-served while long-tail customers consume disproportionate effort. Cost to serve rises faster than revenue.

Consulting intervention

• Segmentation by ARR, complexity, growth potential and lifecycle stage
• Design of high-touch, pooled and digital-led coverage tiers
• Engagement cadences and service entitlements per tier
• Capacity modeling to size teams against the book of business

Deliverables

• Segmentation model
• Coverage and engagement model
• Capacity and headcount model
• Service entitlement matrix

Business problem

Customers move between Sales, Onboarding, Support and CS without a coherent experience. Each team optimizes its own stage and the gaps between them are where customers disengage.

Consulting intervention

• Map the end-to-end lifecycle from contract signature through renewal and expansion
• Identify value moments, friction points and drop-off risks at each stage
• Define stage-exit criteria, ownership and required evidence of progress
• Align touchpoints across human and digital channels

Deliverables

• Customer journey map
• Stage definitions and exit criteria
• Ownership (RACI) model
• Prioritized friction backlog

Business problem

Onboarding is long, inconsistent and dependent on individual effort. Customers wait weeks before they see value, and early momentum leaks away before adoption takes hold.

Consulting intervention

• Define first value and full value for each segment and use case
• Redesign onboarding phases, milestones and customer-side commitments
• Build implementation playbooks, kickoff structure and success plans
• Establish onboarding governance and progress reporting

Deliverables

• Onboarding methodology
• Segment-specific onboarding playbooks
• Kickoff and success plan templates
• Time-to-value measurement framework

Business problem

Health scores are either missing or built on intuition. Green accounts churn, red accounts renew, and the team stops believing the score.

Consulting intervention

• Analyse historical churn and expansion to identify leading indicators
• Combine product usage, relationship, outcome and commercial signals
• Define weighting, thresholds and the actions each state should trigger
• Set up a review cadence to recalibrate the model as data matures

Deliverables

• Health score model and documentation
• Signal inventory and data requirements
• Risk and opportunity playbooks
• Calibration and governance process

Business problem

Churn is explained after the fact with generic reasons like 'budget' or 'no champion'. Root causes are not captured consistently, so the same losses repeat.

Consulting intervention

• Churn and downgrade root-cause analysis across segments and cohorts
• Structured churn-reason taxonomy and exit-interview process
• Early-warning triggers and save playbooks by risk type
• Executive escalation and risk review cadence

Deliverables

• Churn diagnostic report
• Churn taxonomy
• Risk playbooks
• Risk review operating rhythm

Business problem

Expansion depends on a few strong CSMs or on inbound requests. Ownership between Sales, Account Management and CS is unclear, and growth inside the base is under-realized.

Consulting intervention

• Map expansion paths: seats, modules, use cases, tiers and new business units
• Define expansion readiness signals and qualification criteria
• Clarify ownership, handoffs and compensation alignment across teams
• Design account planning for strategic customers

Deliverables

• Expansion motion design
• Account planning framework
• Expansion ownership model
• NRR driver tree

Business problem

CSM roles are overloaded and loosely defined. Specializt skills (onboarding, technical success, renewals, CS operations) are either missing or spread thinly across generalists.

Consulting intervention

• Design role architecture and responsibilities across the CS organization
• Define specialization points as the company scales
• Build competency frameworks and career progression paths
• Recommend hiring sequence and leadership structure

Deliverables

• Organizational design
• Role profiles and competency framework
• Career paths
• Hiring sequence plan

Business problem

CS reports dozens of activity metrics and few outcomes. The board sees GRR and NRR; the team sees call counts. Nobody connects the two.

Consulting intervention

• Build a metric hierarchy linking leading indicators to revenue outcomes
• Standardize definitions for GRR, NRR, logo retention, time-to-value and adoption
• Design leadership and team-level reporting views
• Set targets and review cadences

Deliverables

• KPI framework and metric dictionary
• Reporting specifications
• Target-setting approach
• Business review templates

Business problem

CS platforms are purchased before processes are defined. Adoption is low, data is fragmented across CRM, product analytics and support, and the tool becomes an expensive spreadsheet.

Consulting intervention

• Define requirements from operating model and playbooks first
• Assess the current stack, integrations and data flows
• Run a structured, vendor-neutral selection process where needed
• Plan implementation, data model and adoption

Deliverables

• Requirements specification
• Current-stack assessment
• Vendor evaluation framework
• Implementation roadmap

Business problem

Leaders are under pressure to 'use AI' in Customer Success but lack a clear view of where it creates value, what data it needs, and how it changes roles.

Consulting intervention

• Identify high-value use cases: account summarization, risk signal detection, meeting preparation, digital engagement and knowledge retrieval
• Assess data readiness and quality
• Design human-in-the-loop workflows and governance
• Redefine roles and coverage models where AI changes capacity

Deliverables

• AI opportunity assessment
• Prioritized use-case roadmap
• Workflow and governance design
• Pilot plan and success criteria