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HR Tech / Customer experience

CX Interaction Audit as a GTM Wedge

A packaged Interaction Audit — classification rubric, savings model, and executive report — with a GTM sequence from audit to agent deployment.

Design and pilot materials within a focused sprint; refinement after first live audit deliveries led by the client team.

The challenge

A capabilities pitch was not enough — buyers needed structured evidence of which interactions could move, at what volume, and what that implied financially before they would sponsor a platform programme.

The technology team knew the stack could handle voice-led workflows; revenue teams could not yet sell CX with the same conviction as HR because every deal started as a platform debate. Prospects asked for proof tied to their own volumes, compliance constraints, and interaction mix — not generic benchmarks. Without a standardised audit product, each opportunity reinvented scoping, timelines drifted, and procurement saw high initial risk. Marketing also lacked a crisp entry SKU that fit procurement norms in banks and insurers.

What we did

The approach

We designed the Interaction Audit as a decision system for the buyer: classify interaction types against automation feasibility bands, estimate operational impact at stated volumes, recommend a phased automation sequence, and land a platform proposal as the natural next step — not a cold upsell. For the seller, we defined intake data, analysis steps, quality gates, and deliverable format so delivery could be repeated without heroics. We linked the audit narrative to compliance-forward positioning (data handling, residency, auditability) as the primary buyer lens in regulated segments, and documented how recommendation logic could later attach to revenue outcomes — shifting CX from pure cost takeout to growth language for CFO and CX leadership.

BUYER DATAContact volumes & mixPrivacy + consentboundariesRegulated industrypatternsProcurement entrynormsAUDIT SYSTEMOffer + intake checklistScope, gates, deliverablesTaxonomy + feasibility rubricAutomatable bands, worked examplesVolume → impact + sequencingSavings ranges, risk registerOUTPUTCX entryproductExecutive reporttemplatePriced audit SKU + playAudit → platformhandoffs

Key findings & actions

01

Buyer-facing offer definition

scope, prerequisites, deliverables, timelines, and explicit out-of-scope boundaries

02

Data intake and privacy checklist aligned to regulated environments and consent boundaries

03

Interaction taxonomy and automation feasibility rubric with worked examples for common banking and insurance contact types

04

Volume-to-impact model

staffing cost, handle-time, deflection, and error-risk sensitivities stated as ranges with documented assumptions

05

Sequenced implementation path

quick wins versus regulated approvals versus higher-risk interaction classes

06

Executive report template

automatable share ranges, savings storyline, risk register, and recommended next commercial step

07

GTM play

target account profile, pricing band guidance, and discovery questions that qualify audit fit before scoping

How we worked

01

Scope

CX wedge strategy, Interaction Audit product design (methodology, models, templates), pricing and packaging guidance, GTM narrative and sales playbook, and handoff workshops with solutions and sales leadership.

02

Timeline

Design and pilot materials within a focused sprint; refinement after first live audit deliveries led by the client team.

03

Operating model

Ravon built the methodology and collateral; client delivery leads owned client data access, legal sign-off on reporting, and audit execution.

Outcomes

What changed

A packaged Interaction Audit — classification rubric, savings model, and executive report — with a GTM sequence from audit to agent deployment.

01

Sales and solutions engineering adopted a single audit narrative

shrinking scoping variance and protecting margin on early CX deals

02

Leadership could fund CX GTM with a defined entry SKU instead of betting only on long-cycle platform bids

03

Buyer conversations shifted earlier to data-backed cases

reducing 'trust us' moments in regulated procurement

04

Delivery team received repeatable methodology

improving predictability of effort and time-to-report

05

Product roadmap for downstream CX and recommendation features aligned to a staged revenue story rather than a big-bang promise

Governance

Trust, collaboration & governance

01

Automatable-share guidance framed as directional ranges from analogous work — calibrated in delivery with client-specific data

02

No guarantee of regulatory approval timelines; approval gates called out explicitly in the sequence

03

Buyer industries described generically in public marketing unless the client publishes references

04

Clear separation between audit fees and platform fees to protect trust with procurement

Reframe

When the first sale is analysis, the platform sale stops feeling speculative.

Across every engagement, the goal is the same: engineer a system that makes better decisions — faster, more consistently, and at scale — than the process it replaces.

Start a discovery

Most engagements begin with a conversation about context.

We do not send a proposal before we understand the problem. Start by telling us about your decision context — we will identify the highest-leverage intervention areas before any scope is agreed.