Findings
PRODUCT DEMO

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 synthetic walkthrough shows how the review flow could look for an illustrative healthcare SaaS company.

What you're seeing: Synaura's Findings view for Northwind Health (fictional and fully synthetic). 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

Latent Risk Spotlight

fhir ingestion reliability
Risk: 0.9

3 internal engineering signals. 0 customer complaints yet. Marketing claims 99.9% accuracy. Illustrative risk window: this may surface externally if the team does not act.

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: 0.6

2 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.

Story Timeline — FHIR Ingestion Risk

How Synaura detected a latent risk 30 days before any customer complaint — with real signal timestamps.

DAY 0 · TODAY
You are here. No customer has complained yet.
Engineering knows. Marketing doesn't. The clock is ticking.
FUTURE · ILLUSTRATIVE
Possible next event: 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.

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

Misalignment Map — 14 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
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

Reviewable context packages for controlled MCP evaluation. Proof state is explicit wherever signature evidence is available. Read the proof model →