Andros
Regulated sales-call research

Chorus had the calls. Andros needed the research.

Andros had valuable customer and prospect conversations happening in Chorus, plus feedback spread across Salesforce, Zendesk, Jira, and spreadsheets.

The problem was not a lack of customer feedback. The problem was that the richest feedback lived inside a sales tool that was not built for product research, while the rest of the feedback was scattered across tools and documents.

BuildBetter gave Andros a way to evaluate a better path: pull product signal from sales conversations, consolidate unstructured feedback, generate source-backed documents, and analyze customer conversations with PHI-aware workflows.

0
new interviews needed: product research extracted from sales calls already happening
PHI-safe
automatic scrubbing makes regulated customer conversations analyzable
4 systems
Salesforce, Zendesk, Jira, and spreadsheets consolidated into one research layer

The Pull

Andros was trying to turn customer and sales conversations into product research.

Their current setup blocked them because Chorus was the sales team’s tool, not a product research system, and healthcare context required care around PHI and PII.

BuildBetter unblocked them by connecting sales-call intelligence to product workflows: ingestion, signal extraction, source-backed answers, documents, and PHI-aware analysis.

The Catalyst

“Chorus is our sales team's tool, and it isn't exactly tailored to kind of product research and discovery. And so one of the reasons why we're actually interested in BuildBetter is it looks like you guys have an integration with Chorus.”

— Zach Drouin, Andros

Before BuildBetter

Andros had customer signal across:

  • Chorus sales calls,
  • Salesforce CRM context,
  • Zendesk tickets,
  • Jira internal task context,
  • spreadsheets,
  • document-style feedback,
  • Google Meet / Zoom-style calls.

The feedback existed, but product had no clean research layer.

The Blocker

Zach described the rest of the feedback workflow as scattered:

“We use Salesforce as sort of the generic CRM capture stuff. We use Zendesk as a ticketing system. We use Jira for internal task management. It's a lot of spreadsheets.”

— Zach Drouin, Andros

And:

“It's a lot of spreadsheets. We get a lot of kind of document-style feedback that isn't necessarily structured in a system.”

— Zach Drouin, Andros

Healthcare data made the problem harder:

“We are very mindful of staying away, especially from PHI data, to the extent we can. But sometimes it’s tricky, especially when we wanna see examples of stuff that our clients are using.”

— Zach Drouin, Andros

“I actually wanna boot the Chorus notetaker if we can.”

— Zach Drouin, Andros

The BuildBetter Workflow

Chorus sales call or unstructured feedback
    ↓
BuildBetter ingestion
    ↓
PHI / PII-aware signal extraction
    ↓
Source-backed answer or document
    ↓
Product, design, SOW, PRD, or research output

What Changed

Andros saw a path from scattered feedback and Chorus-bound sales calls toward a structured product-research workflow.

The clearest potential changes:

  • sales calls can become product research input,
  • Salesforce, Zendesk, Jira, and spreadsheet feedback can be consolidated,
  • AI answers can link back to source context,
  • templates can turn calls into SOWs or product documents,
  • PHI / PII-aware processing can make regulated customer conversations safer to analyze,
  • product and design can evaluate the same customer signal together.

“Oh, that's actually great.”

— Zach Drouin, Andros, reacting to automatic PHI scrubbing

“That's awesome. This is gonna be one of my questions.”

— Zach Drouin, Andros, reacting to source-backed AI

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