Your engineering team knows things
your customers haven't told you yet.
Synaura joins internal signals, external feedback, roadmap decisions, and marketing claims into one alignment view. This is what it looks like for a healthcare SaaS company with $6.4M ARR at risk.
What you're seeing: Synaura's alignment dashboard for Northwind Health (fictional). 34 signals across 14 clusters, 5 marketing assets with 12 claims, 9 decisions (3 deferred), 10 process cards — evaluated by Synaura's coverage engine. Click any row to drill into signals.
MISALIGNED TOPICS
14
none above 55% coverage
LATENT RISKS
2
fhir ingestion + perf degradation
ARR EXPOSED
$6.37M
across 8 customers
MARKETING DRIFT
9 claims
contradicted across 5 assets
MISALIGNED TOPICS
11
none above 50% coverage
LATENT RISKS
2
rate limiting + SSO setup
ARR EXPOSED
$4.2M
across 6 customers
MARKETING DRIFT
7 claims
contradicted across 4 assets
Latent Risk Spotlight
fhir ingestion reliability
Risk: 0.93 internal engineering signals. 0 customer complaints yet. Marketing claims 99.9% accuracy. Predicted to surface as support tickets within 30 days.
The FHIR resource validator silently drops malformed Bundle entries — 2.3% data loss measured on the last Memorial Regional bulk import from Epic
HL7v2-to-FHIR conversion has no retry logic — a network timeout during ADT feed processing drops admission records with no error logged
Circuit breakers needed on the FHIR ingestion pipeline before flu season volume — current failure mode is silent truncation of partial Bundles
Marketing exposure: Enterprise Features page claims “Easy FHIR data ingestion with 99.9% accuracy.” Drift score: 1.0 — marketing language directly contradicts internal engineering reality.
Why this matters: No ARR is exposed yet because no customer has complained. But 3 engineers independently flagged data loss risk. When this surfaces externally, it will be a retention event — not a feature request.
performance degradation
Risk: 0.62 internal engineering signals. 0 customer complaints. No marketing claims. Infrastructure pressure building silently.
Database query latency spiking to 4 seconds during peak hours — the patient search index needs rebuilding but there is no maintenance window process
Background job queue at 85% capacity — if two more hospital integrations are added without scaling, jobs will start dropping
Why this matters: No marketing claim to contradict, but this is infrastructure debt that will cascade into customer-visible failures. Two more onboardings and the queue starts dropping jobs.
api rate limiting
Risk: 0.853 internal engineering signals. 0 customer complaints yet. Marketing claims “unlimited API calls.” Predicted to surface as support tickets within 30 days.
Rate limiter allows burst traffic to bypass throttle — one enterprise customer hit 50x their plan limit last Tuesday with no alert triggered
Shared rate-limit pool across all tenants means one noisy customer can degrade API response times for everyone on the same shard
No per-endpoint rate limiting — the /search endpoint costs 10x more compute than /status but both count as one API call
Marketing exposure: Pricing page claims “Unlimited API calls on Pro and Enterprise plans.” Drift score: 0.95 — marketing language directly contradicts internal rate-limiting reality.
Why this matters: No ARR is exposed yet because no customer has complained. But 3 engineers independently flagged rate-limiting gaps. When a large customer hits the ceiling, it will be a retention event — not a feature request.
sso configuration complexity
Risk: 0.72 internal engineering signals. 3 customer complaints. Marketing claims “setup in minutes.” Reality: 2-3 weeks average.
SSO SAML assertion validation silently fails for ADFS configurations — 40% of enterprise onboardings require manual XML debugging by engineering
SCIM provisioning has no error callback — when user sync fails, the customer sees stale team rosters with no indication anything is wrong
Why this matters: $910K ARR exposed across 3 enterprise customers currently stuck in SSO setup. Marketing says “minutes,” reality is weeks. This is actively blocking expansion deals.
Story Timeline — FHIR Ingestion Risk
How Synaura detected a latent risk 30 days before any customer complaint — with real signal timestamps.
DAY -6 · MAY 3
First internal signal: FHIR data loss
DAY -5 · MAY 4
Second signal: HL7v2 conversion failures
DAY -4 · MAY 5
Third signal: Architecture review flags risk
DAY -1 · MAY 8
Synaura detects latent risk (0.9 confidence)
DAY 0 · TODAY
You are here. No customer has complained yet.
Engineering knows. Marketing doesn't. The clock is ticking.
DAY +30 · PROJECTED
Predicted: first external customer complaint
Without action, a customer will file a support ticket about data loss. That ticket becomes a retention event — not a feature request.
Story Timeline — API Rate Limiting Risk
How Synaura detected a latent risk 30 days before any customer complaint — with real signal timestamps.
DAY -6 · MAY 3
First internal signal: Rate limiter bypass
DAY -4 · MAY 5
Second signal: Shared tenant rate pool
DAY -1 · MAY 8
Synaura detects latent risk (0.85 confidence)
DAY 0 · TODAY
You are here. No customer has complained yet.
Engineering knows. Marketing doesn't. The clock is ticking.
DAY +30 · PROJECTED
Predicted: first external customer complaint
Without action, an enterprise customer will exceed rate limits during a critical integration. That becomes a churn event — not a feature request.
Deferred Decisions — No Follow-Through
3 decisions parked with no revisit date. Signals keep arriving for the deferred topics.
DEFERREDEvaluate streaming architecture for clinical alerting pipelinereal-time-alerting
DEFERREDDefer mobile offline mode to Q4mobile-app-stability
DEFERREDDefer API documentation overhaulapi-rate-limiting
3 decisions parked with no revisit date. Signals keep arriving for the deferred topics.
DEFERREDMigrate rate limiter to per-tenant token bucket architectureapi-rate-limiting
DEFERREDDefer dashboard performance audit to Q4dashboard-performance
DEFERREDDefer SCIM provisioning error callbackssso-configuration
Misalignment Map — 14 Clusters
Misalignment Map — 11 Clusters
COVERAGECLUSTERLATENCYINTEXTARR
reporting customization
EXT ONLY
0
1
$380K
documentation freshness
EXT ONLY
0
1
$420K
performance degradation
INT ONLY
2
0
—
api rate limiting
SYNCHRONIZED
1
2
$280K
data export compliance
SYNCHRONIZED
1
2
$890K
patient matching accuracy
EXT ONLY
0
1
$510K
fhir ingestion reliability
INT ONLY
3
0
—
hipaa audit trail
EXT ONLY
0
2
$610K
real time alerting
INT LEADING
2
1
$280K
billing transparency
EXT ONLY
0
2
$510K
ehr integration onboarding
SYNCHRONIZED
1
2
$620K
mobile app stability
SYNCHRONIZED
1
2
$340K
onboarding complexity
SYNCHRONIZED
1
2
$620K
sso configuration
SYNCHRONIZED
1
3
$910K
api rate limiting
INT ONLY
3
0
—
sso configuration
SYNCHRONIZED
2
3
$910K
dashboard performance
INT ONLY
2
0
—
webhook reliability
EXT ONLY
0
2
$450K
documentation freshness
EXT ONLY
0
2
$320K
data export compliance
SYNCHRONIZED
1
2
$680K
sdk versioning
EXT ONLY
0
2
$290K
onboarding complexity
SYNCHRONIZED
1
2
$520K
billing transparency
EXT ONLY
0
1
$380K
ci/cd integration
INT LEADING
2
1
$360K
reporting customization
EXT ONLY
0
1
$290K
Reading the map: = latent risk (engineering knows, customers don't). = marketing drift (claims contradict signals). INT ONLY = only engineering flagged it. INT LEADING = engineering flagged before customers confirmed.
How Synaura Works
CONNECT
Slack, Zendesk, and Google Drive ingest signals. Marketing crawler captures product claims. Linear and G2 connectors plug in next.
DETECT
Four-dimensional join: internal awareness × external signal × roadmap × marketing. Gaps, drift, latent risks, and stalled decisions surface automatically.
ACT
Signed skill files your AI agents execute via MCP. Cryptographic provenance on every artifact. Verify any artifact →