# Christophe Jammet

Christophe Jammet works on human-centered UX research, AI enablement, and B2B marketing. Jammet's LinkedIn posts discuss designing AI around how people work, using targeted paid media to put strong content in front of the right buyers, and turning podcast episodes into smaller content assets.

- Profile: https://b2binfluencer.marketing/creators/christophe-jammet/
- LinkedIn: https://www.linkedin.com/in/cjammet
- LinkedIn followers: 3,130
- Topics: artificial-intelligence, content-marketing, ux, b2b-content-marketing
- Based on 11 dated posts, latest 2026-10-08

## Summary

Christophe Jammet is most useful for human-centered UX research, AI enablement, and targeted B2B content distribution.

- Best for: A B2B SaaS or enterprise tech brand with strong content but weak distribution.
- Not for: Consumer sponsorships or broad awareness campaigns with guaranteed reach.
- Check first: Confirm if the engagement is consulting or content strategy, not creator sponsorship.

### Takeaways

- Understand user mental models before building or migrating AI workflows.
- Use targeted paid media to put relevant case studies before likely buyers.
- Automate podcast transcripts, clips, publishing, and reporting but keep full-episode edit human.

## Main ideas

- **AI and automation projects fail when teams skip user research**: Jammet argues that enterprise AI pilots fail less because of technical limits than because teams have not considered how people will interact with them. The design principle is to understand users’ mental models and design for how people actually work, not how teams think they should. They co-authored a Gather white paper with Rudy Chang, a long-time collaborator on the argument, and thanked Chiara Bartlett for design and Nick Douglas for editorial guidance.
- **UX research can stop bad ideas, not just add cost**: Jammet argues that UX research is usually the first thing cut when corporate marketing budgets tighten—and that this is a mistake for a less obvious reason: research gives teams a way to stop a bad idea from the top by saying the research says otherwise, instead of I disagree. In a Gather Signal episode, they describe a practical workshop: get everyone in a room, name the real pain points, and give people a low-cost way to solve them through vibe coding. The episode also features Jason Oberholtzer, Andrea Bezark Stein, and Rudy Chang.
- **Good B2B content needs targeted paid amplification**: For about a decade, Jammet has been frustrated by teams that create genuinely exceptional, persona-specific content but will not spend a dollar to make sure that persona sees it. Their Eames chair analogy: a beautiful chair left on the sidewalk is not a strategy. They contrast money spent on Super Bowl spots and airport posters—which, they say, do little for most B2B advertisers—with reluctance to spend a fraction of that to put the right case study in front of forty people who could actually buy. Targeted paid amplification exists, works, and is underutilized; the post itself was deliberately targeted.
- **AI enablement can scale a podcast or webinar without replacing the human edit**: Jammet built an automated post-production stack for The Gather Signal, a show that crossed 1,600 YouTube subscribers after three episodes. The stack handles transcripts with speaker attribution, titles and descriptions, chapters, designed and captioned Shorts, thumbnails, scheduling and uploads, launch posts, paid media plans, and performance reporting. A human editor still handles the full episode edit. They offer the approach to anyone with a podcast, webinar series, or pile of recorded conversations who wants to atomize and scale them, and thank host Jason Oberholtzer, AI and design systems collaborator Hilary Davis, and team members Matthew K., Kirsten C., and Michael Terwindt.

## Work to read

- [The Eames chair problem: why good B2B content needs paid amplification](https://www.linkedin.com/posts/cjammet_contentmarketing-paidmedia-thoughtleadership-activity-7495584716297867265-JvIA)
- [Why AI pilots fail without human-centered design](https://www.linkedin.com/posts/cjammet_ai-pilots-are-failing-because-were-not-listening-activity-7389750185264058368-fBar)
- [UX research as budget protection, not a cost center](https://www.linkedin.com/posts/cjammet_uxresearch-aiinnovation-vibecoding-activity-7494064864248868864-45c2)
- [An AI-assisted post-production stack for podcasts and webinars](https://www.linkedin.com/posts/cjammet_warning-podcast-bro-brag-the-gather-activity-7513983465651068928-ZJ7b)

## Brand relationships

- **Gather** (disclosed_partnership)

## Partnerships

Christophe Jammet’s four posts read more like service offers than creator sponsorships. They invite brands to discuss targeted paid amplification of underperforming content, human-centered UX research for AI and automation pilots, and podcast post-production automation—the last tied to The Gather Signal, which they say crossed 1,600 YouTube subscribers after three episodes. These describe work their team could do for a client, not a defined format a brand could book; none names a price, deliverable, audience guarantee, or sponsor slot. A separate white paper on human-centered design in AI and automation is credited to Jammet and Rudy Chang, with Chiara Bartlett on design and Nick Douglas on editing, but promoted as reading and a conversation opener rather than a sponsored placement. The posts do not say whether they accept sponsorships. Before planning spend, ask for an offer sheet or confirm directly that paid brand partnerships are available.

## Alternatives

- Diego Mas González: Choose Diego Mas González when the engagement needs someone to run the research, not plan its distribution. The posts describe a hands-on practice: drafting, editing and re-editing discussion guides and survey questions from scratch, then using AI as a second editor to test whether questions are more concise, better ordered or missing anything. The researcher reviews each suggested question to ensure it stays open-ended and non-leading. The researcher handles the data digging, synthesis, final report and delivery. This makes Diego a better pick when a client has a decision to de-risk before anyone writes a campaign message—for example, when a product team cannot explain why buyers behave as they do. A second post addresses the agency’s own hiring challenge: a role advertised as a UX researcher turned out to involve spreadsheets, survey data and web analytics. The post lists interview questions that would have surfaced the mismatch, useful for an agency staffing a research function and looking to avoid the same trap.
- Jamie Van Cuyk: Choose Jamie Van Cuyk when the campaign is about the client’s own team, not its buyers. The posts cover when a small-business owner should stop doing everything and start delegating; how to define the role actually needed and what success in that seat looks like; why hiring out of desperation or from a vague job description produces costly misfits; the difference between micromanaging and setting clear expectations; what a strong onboarding plan includes; and where AI can support hiring without replacing a manager’s judgment. A podcast episode also presents a case study of a business owner who turned around two struggling franchise locations with one strategic manager hire. This is a better fit when the agency is building content for a hiring, staffing or small-business audience, or when the campaign angle depends on the operational pressures of a growing owner rather than technology buyers.
- Phill Keaney-Bolland: Choose Phill Keaney-Bolland when a cybersecurity company sounds like every other vendor and is drifting toward competing on price. The posts describe using Blue Ocean Strategy to map where a company overlaps with the rest of the market and where it can lead, then building the whole story around those differences so the product becomes harder to compare. The RSAC Innovation Sandbox post adds firsthand observations about how security startups now present themselves: the recurring question of how a company differs from the big AI firms, increasingly bold branding in a crowded market, and slides and demos that have shifted from information-dense to clear storytelling and refined design. This is a better fit when the deliverable is positioning and messaging for a security startup launching or rebranding, particularly around industry events where the agency also wants a read on how peers are presenting.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/