ArcGlass for Product

Get closer to the work your customers need to do.

Find the need behind the ask

A request for another dashboard may really be a reporting problem. Look at the surrounding conversation to understand the job, the constraint, and the outcome the customer wants.

Learn outside scheduled research

Useful product feedback also appears in demos, onboarding calls, and account reviews. Bring those conversations into product discovery rather than relying only on the customers you interview directly.

Understand how your product is perceived

See which capabilities customers misunderstand, what they compare you with, and where expectations differ from what the product does. Separate a product gap from an explanation gap.

Give teams shared customer context

Ground discussions with sales and customer teams in the same customer problem. Spend less time debating secondhand interpretations and more time deciding what needs further investigation.

FAQ

Questions, answered.

Is this only useful for feature requests?+

No. Conversations can reveal workflow problems, workarounds, unmet expectations, and the language customers use to describe value. Those details are useful for discovery, positioning, and product design.

Does ArcGlass replace product analytics?+

No. Product analytics helps you understand usage. Conversation context helps you investigate what customers were trying to achieve and why they describe something as difficult or valuable.

Does the product team need to attend more customer calls?+

Not to learn from conversations already available in ArcGlass. Use the findings to identify where a direct customer conversation would be most useful, rather than joining every call just in case.

Can this help us plan better research?+

Yes. Recurring questions, unclear expectations, and repeated workarounds give you concrete topics to investigate. Use them to shape research questions, then validate your understanding with customers.

Hear the problem. Not just the feature request.