Client routesInvestment diligence
Hedge Funds
Public and private investment teams often need to move from management narratives to customer-level evidence quickly, especially when growth quality, retention, and concentration affect downside cases.
Economic case
The reason this route needs customer-level evidence.
Wysdome gives investment teams a repeatable way to test customer revenue quality before paying for a broader bespoke diligence process.
Is growth broad-based or dependent on a few customers, channels, or products?Are expansion, contraction, and churn trends improving or deteriorating by cohort?Which segments deserve lower or higher confidence in the forecast?Can NRR appear strong while logo churn or top-customer dependency is worsening?
Outputs and inputs
The route stays useful because source files and output files stay paired.
The output list defines what the client can review. The input list makes clear what is needed before those outputs can be treated as reliable.Outputs
01NRR, GRR, expansion, downsell, churn, and logo-retention decomposition02Top-N concentration and volatility watchlists03Cohort and segment quality analysis04Monthly, quarterly, and yearly projection support views05Red-flag schedule for follow-up diligence questions06Customer ranking by revenue contribution, trend, and volatility
Data inputs
01Customer-level revenue history02Product, contract, and subscription tables03Customer size, vertical, geography, and channel segmentation04Management forecasts and budget cases05Relevant renewal, churn reason, or customer success exports
The client framing changes by process. The underlying discipline does not: source-mapped revenue, reviewable definitions, and output packs that can support diligence questions.
Operating model
Workflow, risks, and consulting boundaries are separated.
Workflow
Normalize customer revenue history into a consistent period view.
Separate new logo, expansion, cross-sell, downsell, and churn movements.
Create downside watchlists by concentration, retention, and renewal exposure.
Compare forecast assumptions with historical customer-level trends.
Risks and caveats
NRR can mask churn if expansion is concentrated in a small number of accounts.
Sparse churn-reason data should be treated as directional, not definitive.
Segment cuts are only as reliable as the client's source segmentation.
Consulting fit
Buy-side red-flag review
Forecast support and downside case diagnostics
Customer concentration and renewal-risk deep dive
Custom data cuts for PM or investment committee discussion
FAQ
What this client type should know.
Monarch AI creates reviewable customer revenue analytics. Consulting is scoped separately when the transaction requires judgment, narrative support, or custom analysis.Can Wysdome support private-company diligence?
Yes, where the client or counterparty can provide enough customer-level revenue data for agreed analytics. Public-source-only work is not the core use case.
Does Wysdome make investment recommendations?
No. Outputs are analytical support for client review and are not investment, legal, tax, accounting, credit, valuation, or securities advice.