An AI agent built for SaaS workflows.

Onboarding, churn, NPS, expansion, win/loss, pricing. Diaform runs every customer conversation a SaaS company needs through a single AI-led platform. Stop fragmenting feedback across five tools.

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Where SaaS feedback breaks down

01

Feedback is fragmented across teams

Product, CS, sales, marketing, and support each run their own tool. Five tools, five formats, zero shared truth. The same customer pain shows up in three places and never gets prioritized.

02

Quant data without qualitative depth

Every team has dashboards. Few have the why. Building qualitative ops on top of every existing tool is too expensive for most SaaS companies.

03

Research doesn't scale with the customer base

When you have 50 customers, talking to all of them is tractable. At 5,000 it's impossible, exactly when the patterns become statistically meaningful.

What SaaS companies get from Diaform

01

One platform across the lifecycle

Onboarding to churn to expansion. Same AI agent, same synthesis engine, one shared research library.

02

SaaS-tuned mid-conversation automations

Built around the workflows SaaS teams need: Slack alerts, save offers, email capture, meeting booking, CRM webhook fires.

03

Per-product or per-team knowledge base

Upload PRDs, pricing, playbooks, ICP definitions. Each team's studies use the right context without manual setup every time.

04

Branded subdomain by default

Customers see your brand on every study. Enterprise plans can add a custom domain for fully white-labeled experiences.

05

30+ languages

Global SaaS customer bases get asked in their native language. Summaries return in English for cross-team review.

06

Slack, webhooks, CSV

Pipe results into the systems your teams already live in, no engineering project required.

Every SaaS feedback workflow, in one place

01

Onboarding feedback

Trigger a pulse at day 7, 14, or 30 to catch friction before it becomes churn.

02

Churn conversations

AI-led cancel conversations with optional save offers fired mid-conversation.

03

NPS follow-up

Auto-trigger a real conversation on every score so you never look at numbers without context.

04

Expansion research

Identify which accounts are ready for more, based on what they say, not just usage data.

05

Win/loss conversations

Run win/loss across closed deals to surface the real decision drivers and objections.

06

Pricing research

Test packaging and price points with real prospects before you change the page.

Frequently asked questions.

The practical details behind setting up, running, and scaling this kind of research with Diaform.

It's the qualitative layer underneath them. Mixpanel shows what; Gainsight shows risk; Gong shows what was said on calls. Diaform runs structured AI conversations everywhere those tools can't reach, and pipes the structured output back via webhook.

Your customers have more to say.

Get an AI feedback agent that listens, follows up, and turns every conversation into answers your team can act on.

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