Orah
Multi-source product feedback analysis

Orah needed analysis, not another feedback inbox

Orah had feedback coming from Salesforce, Intercom, Slack, Gong, Google Meet, custom forms, and internal product workflows.

The problem was not that Orah needed another place to collect feedback. The problem was that product analysis still required manually assembling customer, company, revenue, integration, support, and call context.

BuildBetter gave Orah the analysis layer: multi-source ingestion, signal extraction, clustering, documents, API access, MCP direction, and a way to connect feedback to customer and company context.

1 demo
to decide BuildBetter was the analysis layer they wanted
7+
sources in scope across calls, chat, CRM, tickets, surveys, email, and docs
4
feedback tools evaluated before BuildBetter stood out

The Pull

Orah was already trying to build a better product feedback and analysis workflow.

Their current options blocked them because some tools were more about collecting feedback than analyzing it, and product prioritization needed more than request volume.

BuildBetter unblocked them by turning raw feedback from many systems into structured product signal.

The Catalyst

Kurt had evaluated the market, needed something quickly, and saw BuildBetter as the analysis layer Orah had been looking for.

“I'm sold. I'm ready to get started. I've looked at a lot of tools and yeah, this covers everything that we need.”

— Kurt Meyer, Orah

Before BuildBetter

Orah had customer signal across:

  • Salesforce account and revenue context,
  • Intercom support context,
  • Slack feedback,
  • Gong and Google Meet calls,
  • Scratchpad / CRM notes,
  • Monday.com project workflows,
  • custom forms,
  • manual feedback processes.

The issue was not data. The issue was analysis.

The Blocker

None of the tools gave Orah the full analysis workflow the team wanted.

Prioritization needed company, revenue, integration partner, and product context. Feedback needed to power workflows, not stop at a dashboard. And call-recording adoption had to account for the reality that too many bots were already joining meetings.

Kurt said it plainly:

“The main thing I was looking for is like a tool that's just really good at the analysis piece.”

— Kurt Meyer, Orah

“I was supposed to have a tool in place like 2 days ago.”

— Kurt Meyer, Orah

The BuildBetter Workflow

Salesforce, Intercom, Slack, Gong, Google Meet, forms
    ↓
BuildBetter signal extraction
    ↓
Customer, revenue, and integration context
    ↓
Documents, clusters, reports
    ↓
API, MCP, Monday, n8n, or product workflow

What Changed

Orah moved toward a more connected product-feedback workflow.

The clearest changes:

  • feedback from multiple systems can flow into one analysis layer,
  • signals can be clustered and organized instead of manually reviewed,
  • Salesforce metadata can make feedback more business-aware,
  • custom forms can push into BuildBetter through API workflows,
  • MCP creates a path for n8n / Monday-style automation,
  • documents and signals become product outputs instead of raw feedback.

“BuildBetter definitely stood out, like, straight away from the sign up process, even like the landing page.”

— Kurt Meyer, Orah

“I love these documents. I think those are awesome. The signals, they're very cool.”

— Kurt Meyer, Orah

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Orah: Orah needed analysis, not another feedback inbox | BuildBetter