AI Voice of Customer
Unify every customer signal into ranked, actionable insight for the whole team.
- Project range
- $7,000–16,000
- AWS running cost
- $65–320/mo
- Time to deploy
- 4–6 weeks
- Best-fit industries
- SaaS, Retail
Executive summary
A Voice-of-Customer platform that unifies feedback from every source — surveys, reviews, support tickets, interviews, and NPS — into a single, deduplicated view of what customers want and why. It ranks themes by frequency and business impact, links each to representative evidence and affected segments, and gives product, marketing, and leadership one shared source of truth for prioritization.
Business problem
Customer insight is fragmented across tools and teams, so the same signal is rediscovered repeatedly and decisions are driven by the loudest voice rather than the strongest evidence. Without a consolidated, quantified view, roadmaps and CX investments are hard to prioritize and justify.
Architecture
AWS services
Amazon S3
Storage- — Unified feedback data lake across all sources
- — Retention and lifecycle
AWS Lambda
Compute- — Orchestrate theme extraction and ranking
- — Deduplicate signals across channels
Amazon Bedrock
AI / ML- — Cluster feedback into themes with evidence
- — Summarize what customers want and why
Segment + impact model
Compute- — Rank themes by frequency and revenue impact
- — Tie insights to affected segments
Amazon DynamoDB
Database- — Ranked insights, evidence links, and status
Amazon QuickSight
Observability- — Voice-of-Customer dashboards for stakeholders
Amazon EventBridge
Messaging- — Trigger processing on new feedback
Roadmap / CRM adapters
Integration- — Push prioritized insights into planning and CRM tools
Amazon CloudWatch
Observability- — Logs, metrics, and cost alarms
Data flow
- 1
Feedback from surveys, reviews, tickets, interviews, and NPS is consolidated into an S3 lake.
- 2
Bedrock clusters and deduplicates signals into themes, each linked to representative evidence.
- 3
The impact model ranks themes by frequency and revenue exposure and ties them to segments.
- 4
Ranked insights live in DynamoDB and are visualized in QuickSight for every stakeholder.
- 5
Prioritized insights push into roadmap and CRM tools, closing the loop from feedback to action.
Security considerations
- Feedback and PII encrypted at rest and in transit; optional redaction.
- Least-privilege IAM; source credentials in Secrets Manager.
- Insights cite evidence — decisions trace back to real customer voice.
- Segment-level aggregation limits exposure of individual records.
Cost considerations
- Bedrock theme extraction is the main variable cost, run on new feedback only.
- S3, DynamoDB, and EventBridge are inexpensive with lifecycle tiering.
- QuickSight is billed per user or session for stakeholder access.
Scalability
- Serverless throughout; scales with feedback volume and sources.
- New channels attach as adapters into the same lake.
- Impact weighting and taxonomies configurable per business.
Deployment roadmap
Phase 1 — Sources & taxonomy
Weeks 1–2- — Connect all feedback sources and define themes
- — Provision AWS foundation and data lake
Phase 2 — Build & rank
Weeks 3–5- — Build theme extraction, dedupe, and impact ranking
- — Stand up stakeholder dashboards
Phase 3 — Operationalize
Week 6- — Wire roadmap/CRM integration
- — Validate rankings and establish a review cadence
Future enhancements
- Opportunity sizing tied to revenue and retention models.
- Automated insight digests for each team.
- Trend and emerging-theme early warnings.
- Closed-loop tracking from insight to shipped change.