DEE KACHRACUSTOMER SUCCESS · AI · BETTER OUTCOMES
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BUILD 02 · CUSTOMER INTELLIGENCE DASHBOARD

Customer Intelligence Dashboard

A clear view of the customer signals that matter, what is known, what still needs validation, and where the CSM should focus next.

Design concept using the Northstar Manufacturing example. In a production version, this view would be populated from the Customer Intelligence Agent's output.

THE PROBLEM

Too much customer data can still leave priorities unclear.

CSMs can have plenty of customer data and still lack a clear view of what deserves attention. Changes in adoption, stakeholders, support, value and commercial activity compete for attention, making it difficult to quickly distinguish routine activity from issues that may require action.

WHY IT MATTERS

Important changes can get lost in the noise.

When every signal competes equally for attention, important customer changes can be missed or addressed too late, affecting adoption, value realization, customer relationships, risk and ultimately business outcomes.

HOW AI HELPS

Turn signals into a prioritized view.

The Customer Intelligence Dashboard turns customer signals into a prioritized view of what changed, what needs attention and what still requires validation, helping the CSM decide where to focus next.

DEMO CUSTOMER

Northstar Manufacturing

↓ 20%product usage this quarter
18 dayshigh priority export ticket unresolved
10%procurement reduction request
NEEDS CSM ATTENTION

What needs attention now

Stakeholder Gap
Executive sponsor departed. New primary contact has not responded to two outreach attempts.
Support Issue
High priority monthly close export issue has been unresolved for 18 days.
Value Gap
Customer outcome is defined, but evidence that it has been achieved is missing.
Decision Path Unknown
Finance is evaluating other tools; decision makers, criteria and timeline are unknown.
CSM NEXT ACTION
Reestablish stakeholder alignment, address the export issue, validate value realization and clarify the evaluation before addressing commercial terms.

What changed

Product usage ↓ 20% quarter over quarterObserved signal
VP Finance departedSix weeks ago
High priority monthly close export ticket remains unresolvedOpen for 18 days; business impact needs validation
Multi entity consolidation requestRequested during Q2 QBR; current information indicates it is not planned this year
Other tools under evaluationFinance mentioned a couple of other tools; competitors and timeline are unknown

Relationship & stakeholders

Former finance leaderVP Finance · departed six weeks ago
New stakeholderController · primary contact; no response to two outreach attempts
Platform decision roleNEEDS VALIDATION
Renewal decision makers and stakeholdersProcurement requested a 10% reduction; approval path and decision makers need validation

Value realization

Customer OutcomeReduce manual work during monthly close.
Evidence AchievedNot yet verified from available evidence.
Evidence MissingNo quantified baseline, time saved or customer confirmation.
Next Proof PointValidate whether monthly close effort improved and capture measurable evidence.

Renewal readiness: evidence, not a score

Evidence of concern20% usage decline · finance leadership transition · unresolved export ticket · evaluation of other tools
Value evidenceNo verified business outcome or customer confirmed value supplied
Missing evidenceCause of usage decline · export issue impact · renewal decision makers · other tool evaluation · multi entity requirement · verified business outcome
Next validationWhat is driving the usage decline, other tool evaluation and 10% procurement request, and what must be resolved for renewal?
FROM INTELLIGENCE TO ACTION

Agent → Dashboard → CSM judgment

Customer evidence → Intelligence Agent → Dashboard → CSM judgment
Evidence first: No invented churn probability, customer intent, ROI or causality. The dashboard surfaces signals and gaps; the CSM determines the customer strategy.