Solutions
Your team has thousands of conversations a year. Almost none of them are read.
A manager listens to a handful of calls a month, chosen more or less at random. Compliance samples a fraction of a percent. Product hears about a recurring objection nine months after it started costing deals, secondhand, from whoever happened to mention it.
The conversations that decide whether a deal closes, a customer renews, or a regulator has a problem are recorded, stored, and never looked at again.
Noble Analytic reads all of them. The platform connects to where your calls already live, analyzes every conversation, and turns them into evidence four different teams can act on — not a highlight reel, and not a dashboard nobody opens.
What Noble does
Four things, in order
Ingestion
Noble connects to your conversation platform and pulls recorded calls automatically. No uploads, no browser plugin, no change to how your team works.
Analysis
Each conversation is analyzed for content, structure, and outcome: what was asked, what was promised, what was objected to, what was missed, and what happened next.
Delivery
Results reach each team in the form that team can use — a scorecard for a manager, an exception queue for compliance, a theme report for product, a deal risk flag for sales leadership.
Multi-tenant by design
Every customer organization runs in its own tenant with its own branding, users, and data. Usage is metered per tenant, so you pay for what you analyze.
Sales
Deal intelligence from what was actually said
Not what was typed into the CRM.
The gap between a pipeline review and reality is what the rep remembers, filtered through what the rep wants to report. Noble closes it with the recording.
Deal risk signals
Noble flags the patterns that precede a stalled deal: no next step agreed, single-threaded to one contact, budget never discussed, a decision-maker who has not been on a call. These are visible weeks before the deal slips, when they can still be fixed.
Objection tracking
Every pricing objection, competitor mention, and feature gap is counted across the whole team. A concern that surfaces once is noise; the same concern in a third of discovery calls is a positioning problem, and you find out this month rather than next quarter.
Competitive intelligence
Who you are being compared against, in which segments, and what they are being credited with. Sourced from prospects rather than from win/loss surveys that only the losses answer.
Commitment tracking
What your reps promised — timelines, discounts, capabilities, integrations. Useful for forecasting, and considerably more useful when a customer says “your rep told me” nine months later.
Pipeline reporting
Aggregated deal-stage and activity reporting per tenant, per team, and per rep.
Compliance
Every conversation reviewed, not a 1% sample
Most compliance monitoring is sampling with extra steps. A reviewer listens to a small number of calls, finds what is in them, and extrapolates. The calls that contain the actual problem are the ones nobody picked.
Required disclosure verification
Confirm that mandated language was delivered — recording consent, licensing and identity statements, risk disclosures, whatever your regime requires. Not “the rep was trained on it,” but “it was said, on this call.”
Prohibited language detection
Flag guarantees that shouldn't have been made, performance claims that need qualification, off-label or unapproved statements, and pressure tactics that create liability.
Exception queue
Reviewers see only the conversations that need a human, ranked by severity. The purpose is not more review work; it is the same reviewer covering the full population instead of a sample.
Evidence retention
Each flagged item retains the transcript segment and the recording reference, so a regulator's request is a query rather than a project.
Tiered access control
Tenant users, tenant administrators, support operators, and super-administrators are separated, with new accounts requiring administrative approval before activation.
Logging, residency and retention
Logging of administrative action, data residency, and retention configuration. Compliance buyers ask about these before they ask about features.
Product
The feedback channel you already have and can't read
Your product roadmap is informed by the customers loud enough to file a ticket and organized enough to attend an advisory board. Everyone else tells a sales rep once, on a call, and is never counted.
Feature demand, quantified
Requests aggregated across every conversation, with volume, segment, and deal value attached. “Six customers asked” becomes a count you can weight by segment and by the deals you lost.
Loss reason analysis
Why deals actually died, drawn from the conversations rather than from a CRM dropdown a rep picked under time pressure.
Churn precursors
The language that precedes a non-renewal, surfaced while the account is still open.
Positioning gaps
Where your messaging and the customer's understanding diverge — the capability they thought you had, the one you have that they never learned about.
Usage analytics
Per-tenant consumption and engagement data, metered and reportable.
Coaching
Rep development based on evidence
Not on the two calls a manager remembered.
Coaching fails on sampling and on time. A manager with eight reps cannot listen to enough calls to know where each one is weak, so coaching defaults to whatever happened most recently or most visibly.
Scorecards against your rubric
Every call scored on the criteria you define — discovery depth, objection handling, next-step discipline, whatever your methodology calls for. Applied to every call, consistently, including the ones nobody would have chosen to review.
Individual skill gaps
Where a specific rep is losing deals, specifically. One rep struggles to reach economic buyers; another handles pricing pushback badly. Both are invisible in an aggregate quota number and both are coachable once you can see them.
Exemplar library
Automatically identified best-in-class calls by scenario, so new hires learn from real conversations instead of a role-play script.
Ramp measurement
How long new reps take to reach competence on each dimension, and which part of onboarding is not working.
Manager time reallocation
A manager arrives at a 1:1 knowing what to coach. The preparation that used to consume the hour has already happened.
By company size
The same platform at every size
What changes is how much configuration you do and how much governance you need.
5 – 50 employees
Small business
You have no enablement team, no compliance officer, and no sales ops function. The work still needs doing; there is simply nobody whose job it is.
- Out-of-the-box scorecards and compliance rules — no rubric design required
- Self-serve setup: connect a provider and start
- Usage-based pricing that scales with call volume, not seat count
Fit — an owner or single sales manager who needs to know what is happening on calls without listening to them.
50 – 1,000 employees
Mid-market
You have a sales manager, probably an ops person, and a compliance requirement somebody owns part-time. The problem is coverage: more conversations than anyone can review, and enough reps that inconsistency is now costing money.
- Custom scorecards matched to your methodology
- Team and individual rollups, with manager-level views
- Compliance rules configured to your regulatory regime
- CRM integration
Fit — the point at which coaching by memory stops working.
1,000+ employees
Enterprise
Multiple teams, multiple regions, a formal compliance function, and a security review before anything gets purchased.
- Tenant isolation with per-tenant branding and user directories
- Tiered access control with administrative approval
- SSO, SAML and SCIM
- Logging, data residency, retention policy and DPA terms
- API access for export into an existing warehouse
Fit — organizations where the constraint is governance as much as capability.
By industry
Where the value concentrates
Financial services and insurance
The highest-stakes compliance surface and the clearest return. Suitability discussions, risk disclosures, licensing statements, and prohibited performance guarantees all have to be said, and demonstrably said, on the record. Sampling a fraction of calls leaves the rest unexamined.
Noble reviews the full population and surfaces the exceptions. When an examiner asks, the answer is a query against retained evidence rather than a scramble through a recording archive.
Healthcare and life sciences
Patient communication, payer conversations, and commercial calls each carry different constraints, and the sales-facing ones carry promotional compliance risk — off-label discussion, unqualified efficacy claims, fair balance.
Technology and SaaS
Long cycles, technical buyers, multi-threaded deals, and competitors who change their positioning quarterly. The value concentrates in product and sales: which feature gaps are actually costing deals, which competitor claims are landing, and which reps handle technical discovery well enough to be worth copying.
Professional and financial services firms
Advisory conversations where the quality of the conversation is the product. Coaching value is highest here, because there is no product feature to compensate for a poorly handled client discussion, and the people delivering it are usually practitioners rather than trained salespeople.
Home services and field sales
High call volume, distributed teams, high turnover, and a manager who cannot physically observe most of the work. Ramp time is the dominant cost and the exemplar library is the dominant lever.
Staffing and recruiting
Two-sided conversations — candidates and clients — with compliance requirements on both. Consistency across a large, fast-turning recruiter population is the problem, and it is a coaching and scorecard problem.
Configuration
What a customer can change
The policy knowledge base
The customer's own documents, each with a version and an effective date. Screening runs against those documents, not a generic rule set — nothing is checked that the customer did not upload.
Applicability by meeting context
Which dimensions apply to a cold call, and which to a renewal.
Playbook-sourced coaching
Where an approved playbook covers a behavior, the suggested line quotes and cites the playbook rather than being generated freely.
Retention
Per-tenant retention windows, and whether buyer identity is pseudonymized in stored reports.
Compliance thresholds
Numeric limits defined in the customer's own documents.
Not configurable
And this is the feature
The ten dimensions
Fixed across every call and every tenant. Changing a definition requires a version bump and a regression run, and every report carries the version it was scored under.
The evidence requirement
No tenant configuration can enable scoring without a supporting transcript span.
A rubric a customer can rewrite is a rubric no two managers agree on.
Getting started
Four steps
Connect
Point Noble at your conversation platform. Historical calls are analyzed alongside new ones.
Configure
Start with default scorecards and compliance rules, or bring your own.
Review
First results arrive without a rollout, a training program, or a change to how your team works.
Roll out
Add teams, refine rules against real output, expand to additional use cases.
How to evaluate our analytics
Test us on calls where you already know the answer.
Send a sample of your already recorded calls and the policy documents that govern them — including conversations where you know a violation occurred, and conversations where you know none did. Noble will return findings with citations.