About Product Impact

Mission

Product Impact covers the AI products that are actually changing how industries work. We focus on the craft of building and shipping AI products — the research, design, deployment, and adoption decisions that separate products that create lasting value from those that don't.

Our audience is product leaders, researchers, designers, and practitioners building AI products inside companies ranging from early startups to the enterprise. Our coverage is practitioner-first: what decisions are working, what's not, and why.

Editorial Standards

Every article published on Product Impact follows a consistent set of standards:

• Primary sources first. We link to original documentation, research papers, company announcements, and speakers wherever possible. If we cite a claim, you can follow it to its origin.
• Named expertise. Every article carries a visible byline. Contributors are product practitioners, researchers, and founders with direct experience in the domains they cover.
• Disclosure of interests. When an article touches a company, product, or person where the author, host, or publication has a commercial relationship, we disclose it in the article.
• No paid placement in editorial. Sponsorships are clearly labelled and separate from editorial coverage. Sponsors do not review or influence editorial content.
• Opinion labelled as opinion. Analysis and opinion articles are flagged with the "Opinion" or "News Analysis" format badge. News briefs and release notes are reported, not opinionated.

Verification & Fact-Checking

Before publication, every article is checked for:

• Accurate attribution of quotes, statistics, and technical claims to a named, verifiable source.
• Correct representation of third-party products, research, and companies — with links to the primary source for every claim.
• Technical accuracy of descriptions of AI systems, architectures, and capabilities. When reporting on emerging technology, we distinguish between demonstrated behaviour, claimed behaviour, and speculative projection.

Interview transcripts are reviewed by the interviewee for accuracy before publication. Quotes may be lightly edited for clarity but never for substance.

Corrections

If you spot an error — factual, technical, or a misattribution — email us at [email protected] . We aim to acknowledge within one business day and correct confirmed errors promptly.

Corrections are made in-place with a dated Correction: appendix at the bottom of the article. Substantial corrections (factual errors that change the article's conclusions) are noted in the article's metadata and announced on our social channels.

Unnamed Sources

We prefer named, on-the-record sources. When we use unnamed sources, we do so only when:

• The information is material to the public interest;
• The source has direct, verifiable knowledge (not second-hand speculation);
• The source would face professional or personal risk from being named;
• At least one additional source has independently corroborated the information.

We describe unnamed sources by their relationship to the story (e.g. "an engineer at the company") with enough context that readers can assess credibility.

Ethics Policy

Product Impact does not accept payment or other consideration in exchange for editorial coverage. Contributors disclose any commercial relationship with companies, products, or people they cover — and we publish those disclosures visibly in the article.

Our hosts and regular contributors have their own businesses and consulting practices. See Ownership & Funding for the relationships that matter to disclosure.

Ownership & Funding

Product Impact Podcast is independently owned and operated. It is not a division of, or funded by, any AI company or investor group.

Publisher: Arpy Dragffy, founder of PH1 Research and AI Value Acceleration . PH1 Research is a product adoption research firm; AI Value Acceleration is an enterprise AI adoption consultancy. Both are independent of Product Impact and do not influence editorial.

Revenue sources: Sponsorships and the Substack newsletter . Sponsorships are labelled clearly and separated from editorial. Sponsors have no approval rights over coverage.

If coverage involves a company, product, or person where a commercial relationship exists (consulting client of PH1 or AIVA, podcast sponsor, investor in a portfolio company), we disclose it in the article.

Masthead

Arpy Dragffy — Co-host, Producer, Publisher. Founder of PH1 Research and AI Value Acceleration. Focused on enterprise AI adoption and product impact research.

Brittany Hobbs — Co-host. Product leader working at the intersection of AI capabilities, product strategy, and go-to-market.

Diversity & Coverage Policy

We actively seek out perspectives beyond the dominant narratives of Silicon Valley AI. This means covering AI product work happening outside the Bay Area, in non-English markets, inside regulated industries, and at companies beyond the largest AI labs. Our guest selection, contributor network, and sourcing aims to reflect the breadth of practitioners actually shipping AI products today.

Contact

Editorial: [email protected]
Corrections: [email protected]
Partnerships: [email protected]
Tips & story pitches: [email protected]

See also: Full contact page · Partnerships · Privacy · Terms