Pendo: 6 AI workflows that top PMs are using in 2026

What the article is about

Published in late December 2025 on Pendo’s blog, this piece documents six AI workflows that product managers were testing and refining through 2025. The article stays close to daily work — specific tools, step sequences, and concrete time savings — rather than general strategy advice.

The six workflows

The first workflow centers on voice-to-text capture. Superwhisper, a tool that adapts its transcription style depending on context (email, Slack, longer document), is described as saving one PM more than nine hours per week. The second workflow covers presentation building: a voice brain dump into Claude produces structured content that is then converted into slides via Gamma. The article notes this approach works best when the AI output focuses on narrative substance — formatting comes later.

Workflows three and four deal with context engineering and prompt quality. Instead of feeding background information directly to an AI assistant, the article describes prompting the model to ask the PM targeted questions. This interrogation approach can produce a spec or flow map within an hour. Claude Console’s Prompt Improver is then described as a way to systematically upgrade basic prompts by assigning the AI a role, specifying deliverables, and setting quality criteria.

The fifth workflow shows how to build a memory-enabled AI application — specifically, an AI career coach that conducts regular check-ins and tracks promotion readiness — without writing code. The sixth, called “burger prompting,” is a structured interview technique for resumes and performance reviews that surfaces quantifiable achievements PMs tend to understate when writing about themselves.

Tools mentioned

Superwhisper, Claude, Gamma, Claude Console.

Who it is useful for

Mid-level and senior PMs who want to move beyond occasional AI use toward systematic integration into their daily work. The article assumes basic familiarity with tools like Claude or ChatGPT and is most valuable to people who have already tried AI assistants but want more structured, repeatable methods.

The article does not address measuring the business impact of these workflows or how to introduce AI-assisted processes to a wider team.