Tamara Grominsky helps product marketing leaders show their value and make stronger decisions. Grominsky's work covers positioning product marketing around business outcomes, understanding customers, and choosing research methods for product and pricing questions.
Most useful for talks or workshops that help B2B SaaS product marketing teams act on outcomes and customer context.
Best for
A B2B SaaS company strengthening its product marketing function through a talk or workshop.
Not for
A consumer fintech brand seeking mass consumer reach or app installs.
Key takeaways
Position product marketing value by naming business problems, mapping outcomes, and writing a team charter.
Copied product marketing rules fail without customer context; focus on best customers and why they choose.
Research methods include MaxDiff, Kano, Van Westendorp, conjoint, product-market-fit score, and A/B tests.
Check first: Confirm recent results from comparable placements and any audience survey data on role, seniority, company size, and geography.
Main ideas
Product marketing is misunderstood because PMMs overcomplicate it · Always-and-never product marketing advice fails without context · Research methods are a menu for decisions, not a technical ritual
Tamara Grominsky writes about helping product marketing teams clarify their value and make better decisions.
Their posts connect the role to business outcomes, argue that customer and company context matter more than universal rules, and show how to choose research methods for specific questions.
They also bring product marketers together for hands-on learning, including an AI hackathon focused on solving real work problems.
Grominsky turns broad product marketing principles into choices teams can act on.
In one post, they reframe being misunderstood as a problem PMMs can address: identify the business problems they should own, connect those problems to measurable outcomes, and make the team’s charter visible.
They also challenge advice framed as “always” or “never,” urging PMMs to understand who their best customers are, what they value, and why they choose a product before borrowing another company’s playbook.
A research-methods post makes that emphasis practical, matching tools such as MaxDiff, Kano, conjoint, and A/B testing to different decisions.
Together, these examples show a consistent focus on replacing task lists and received wisdom with business outcomes and customer insights.
The AI hackathon invitation adds a hands-on, community-oriented dimension: participants build something useful for a product marketing problem.
Tamara Grominsky argues that product marketing’s biggest problem is self-inflicted: teams overcomplicate the discipline and then wonder why colleagues cannot explain their value.
Read more
The recurring priorities are to tie product marketing work to business problems and measurable outcomes, replace universal advice with customer-specific context, match research methods to the decision, and give product marketers hands-on practice with new tools. The posts target product marketing leaders who need to justify their function and make better positioning, pricing, and messaging calls.
Product marketing is misunderstood because PMMs overcomplicate it
Tamara Grominsky argues that product marketing is misunderstood because PMMs themselves make the discipline hard to explain.
Read more
If people around the team cannot say what PMM does or why it matters, the team has not made its value clear.
The fix is a three-step sequence: identify the business problems the team should own, map each problem to the outcome it changes and how that outcome will be measured, and write a team charter to share with the team, the boss, and cross-functional partners.
The distinction is between tasks such as product launches or competitive intelligence and the larger business problems PMM is best positioned to solve.
In a LinkedIn post, Tamara Grominsky writes that PMM is not misunderstood because of others; it is “not them...it’s US.” They list three steps and say the result is moving from a team that does stuff to a team that drives results.
Always-and-never product marketing advice fails without context
Tamara Grominsky argues that much product marketing advice on LinkedIn makes PMMs worse because it is shared as gospel — “always” do this, “never” do that.
Read more
The advice usually comes from what worked at one company at one moment; copying it without considering your own context is why it fails.
They define product marketing as two jobs: being the voice of the product to the market and the voice of the market to the product.
Their recommendation is to clear out inherited rules and focus on who the best customers are, what they actually care about, what makes the product different, and why customers choose it.
They include their own advice in the warning.
Examples of flawed absolutes include “always market outcomes over features,” “never mention your competitors,” and “launch day is the most important day.” The post says the answer is often “it depends” and tells readers to clear every “always” and “never” they have read — “yes, even from me.”
Research methods are a menu for decisions, not a technical ritual
Tamara Grominsky argues that strategy is only as good as the insight behind it, and that PMMs who run their own original research tend to feel more strategic because they work from clear data rather than loose signals and open hypotheses.
Read more
Most PMMs avoid research because it feels intimidating: you need to know what to ask and how to ask it properly.
Grominsky’s practical response is to treat research methodologies as a menu and pick the method that matches the question.
They also point to building inbound research expertise on the team as a way to make research less intimidating.
The six methods named are MaxDiff for ranking what matters most from a list such as benefits, messages, or features; Kano for deciding which features to build or improve based on satisfaction; Van Westendorp for an acceptable price range on a new product or a price change; Conjoint for pricing and packaging trade-offs; a product-market-fit score for fit with a specific user group; and A/B tests for comparing versions with real users. Grominsky notes that PMMs do not have to run all of these themselves.
Hands-on AI practice for product marketers is a priority
Tamara Grominsky says learning how other PMMs use AI tools is best done by building together rather than listening to a talk.
Read more
The format is a time-boxed hackathon where product marketers work solo or in teams to build something with AI that solves a real product marketing problem. The stated purpose is creativity, play, and practical learning about AI tool use in the function.
A LinkedIn post promotes a London AI hackathon for PMMs, described as almost at capacity, with about fifty attendees, 90 minutes to build, free Lovable credits, dinner and drinks, and prizes judged by Nathan Davis, Maggie Blackburn, and Edward W. A registration link is included.
Answers the newcomer question, “Why is product marketing often misunderstood, and what does good PMM positioning look like?”
Read more
Start here for the clearest statement of how Grominsky frames PMM’s value.
Tamara Grominsky argues that product marketing is misunderstood because PMMs overcomplicate it—not because other teams fail to understand it.
They offer a three-step way to position PMM’s value: identify the business problems the team should own, map them to measurable outcomes, and write a team charter to share with colleagues, a boss, and cross-functional partners.
The example distinguishes tasks such as product launches or competitive intel from the larger business problems PMM is best placed to solve.
For brands planning a campaign
A useful foundation for a talk or workshop on positioning PMM’s value inside a B2B SaaS company, especially when the function needs to move from task execution to measurable business outcomes.
Answers, “What does Tamara Grominsky think is wrong with standard product marketing advice?”
Read more
Read this to understand their emphasis on customer context over copied playbooks.
Tamara Grominsky argues that much product marketing advice on LinkedIn can make PMMs worse because it presents absolute rules without context.
They define product marketing as two jobs: being the voice of the product to the market and the voice of the market to the product.
They cite rules such as “always market outcomes over features,” “never mention your competitors,” and “launch day is the most important day,” then argue that the real answer is often “it depends.”
Their recommendation: clear away “always” and “never,” and focus on who the best customers are, what they care about, what makes the company different, and why customers choose it.
For brands planning a campaign
Supports a workshop or talk on building product marketing judgment from customer evidence rather than generic templates. Helpful for a B2B SaaS team seeking stronger positioning decisions.
Answers, “How can a product marketer choose the right research method?”
Read more
Start here for a practical overview of methods tied to product, pricing, and messaging decisions.
Tamara Grominsky says PMMs who do their own original research often feel more strategic, while many avoid it because research can feel intimidating.
They offer six methods and when to use them: MaxDiff to rank benefits, messages, or features; Kano to decide which features to build or improve based on satisfaction; Van Westendorp to find an acceptable price range for a new product or price change; Conjoint to assess pricing and packaging trade-offs; PMF Score to measure product-market fit with a specific user group; and A/B testing to compare versions with real users.
PMMs don’t need to use them all; knowing the options makes it easier to pick the right method for the question.
For brands planning a campaign
A direct source for a talk or workshop on research methods. Gives a B2B SaaS product marketing team a practical menu for choosing research before pricing, packaging, or messaging changes.
Positioning product marketing's value around business problems
Tamara Grominsky argues that product marketing is misunderstood because PMMs overcomplicate the discipline.
Read more
If colleagues cannot explain what the team does, they have not made its value clear. The fix is a three-step sequence: identify the business problems the team should own—not tasks like launches or competitive intelligence—map each problem to the outcome it changes and how that outcome will be measured, then write a team charter and socialize it with the team, the boss, and cross-functional partners.
Three-step sequence: name the business problems, map them to measurable outcomes, then build and repeatedly share a written team charter.
For brands planning a campaign
A talk or workshop built on this sequence gives a product marketing team a concrete artifact—the charter—that a sponsor can review, making it useful for an audience that needs to justify scope or headcount.
Tamara Grominsky sets out six research methods and the decision each answers: MaxDiff for ranking benefits, messages, or features; Kano for deciding which features to build or improve; Van Westendorp for an acceptable price range on a new product or a price change; Conjoint for pricing and packaging trade-offs; a product-market-fit score for fit with a specific user group; and A/B tests for comparing versions with real users.
Read more
They note that some methods are more complicated than others and that PMMs do not have to run all of them personally.
Treat research options as a menu: pick the method that matches the question rather than defaulting to a familiar technique.
For brands planning a campaign
This list can anchor a practical research-methods session or takeaway handout, giving a brand a way to frame the session around decisions rather than techniques.
Original research as the basis for strategic standing
Tamara Grominsky observes that PMMs who run their own original research tend to feel more strategic because they work from clear data rather than loose signals and open hypotheses, while most PMMs still avoid it.
Read more
The obstacle, they say, is that research feels intimidating: knowing what to ask and how to ask it properly. They point to building inbound research expertise on the team as a remedy.
For brands planning a campaign
Frames research skill as an influence and credibility topic rather than a technical one, fitting a leadership-level audience weighing whether to build in-house research capability.
Context and judgement over universal product marketing rules
Tamara Grominsky argues that much of the product marketing advice circulating on LinkedIn makes PMMs worse because it is presented as always-or-never rules: always market outcomes over features, never mention competitors, or treat launch day as the most important day.
Read more
The advice lacks context: it usually comes from what worked at one company at one moment, and copying it without considering your own context is why it fails. Grominsky recommends clearing out inherited rules and focusing on who the best customers are, what they care about, what makes the product different, and why customers choose it.
Grominsky includes their own advice in that warning, telling readers to clear every always and never they have read, including from them.
For brands planning a campaign
A useful counterweight for a team that has copied a competitor's playbook: a workshop can test the team's existing rules against customer evidence.
Tamara Grominsky convened a London AI hackathon for PMMs: an evening where roughly fifty attendees get 90 minutes to build something with AI that solves a real product marketing problem, working solo or in a team, with named judges, prizes, free credits, and food.
Read more
The stated purpose is to learn how other PMMs are using AI tools; the format centers on building and demonstrating rather than listening to a talk.
Time-boxed build session with peer teams and judges, ending with prizes.
For brands planning a campaign
Shows an event format a brand could host or sponsor, with a reason to bring a product marketing audience together around a tooling question rather than a keynote.
Start with Tamara Grominsky’s argument that product marketing is misunderstood because teams fail to explain their value in business terms.
Read more
Then follow the practical sequence for fixing that: name the problems the team owns, tie them to measurable outcomes, and write a team charter.
For day-to-day methods, the research post matches MaxDiff, Kano, Van Westendorp, Conjoint, product-market-fit scoring, and A/B tests to specific product, pricing, and messaging decisions.
The AI hackathon post offers a hands-on way to explore the work, with product marketers building something useful together rather than listening to a presentation.
Use the tags to explore product marketing leadership, research methods, pricing, and hands-on formats, then compare the suggested creators for adjacent teaching styles.
Product marketingPositioning and messagingMarket researchPricing and packagingProduct-market fitTeam strategy and chartersProduct marketing leadershipResearch methodsLinkedIn postsHands-on workshopsProduct marketersProduct marketing leaders
Both explain product marketing as connecting customer and market insight to product, sales, and messaging.
Read more
Gautam’s post covers a PMM’s work across research, battle cards, launches, and collateral, overlapping with Grominsky’s practical account of the function.
Gautam’s visible posts explain the role to newer practitioners and apply psychology principles to messaging; Grominsky writes about team positioning, research methods, and making the function strategically credible.
Both describe product marketing as a translator across product, sales, and marketing, and explain plainly what the role does rather than treating it as abstract theory.
Read more
Dorshorst’s visible work includes a hiring post and a definition of product marketing at the intersection of truth and translation. Grominsky offers a team charter sequence, a research-method menu, and a critique of universal product marketing advice.
Both teach practical audience-building through live sessions: Grominsky runs a hands-on AI hackathon for product marketers, while Chavis runs Substack webinars and discusses building a newsletter brand.
Read more
Chavis focuses on Substack publishing and personal-brand strategy, especially for independent and food creators; Grominsky focuses on product marketing teams, research practice, and positioning the function.
The posts point to a practitioner-facing placement—a talk, workshop, or newsletter sponsorship aimed at people who already work in product marketing—rather than a broad-reach buy.
Read more
The clearest audience signal is self-reported: in a 6 October 2026 LinkedIn post, Tamara Grominsky invites readers to a newsletter described as reaching more than 9,000 product marketers each week.
The LinkedIn profile showed roughly 25,485 followers on 8 October 2026.
The content is written for practising PMMs.
A 23 September 2026 post addresses product marketing leaders about how to position their team's value; a 29 September 2026 post argues that generic LinkedIn product marketing advice fails without customer context; and a 6 October 2026 post lays out six research methods (MaxDiff, Kano, Van Westendorp, conjoint, PMF score, A/B test) for PMM teams.
A 28 September 2026 post promotes a London AI hackathon for about 50 PMMs.
For a B2B SaaS company strengthening its product marketing function, the fit case rests on subject matter and a self-reported concentration of PMM subscribers, not verified audience composition.
Before booking, ask for recent results from comparable placements (topic, depth, and format) and, if available, audience survey data on reader role, seniority, company size, and geography.
The material reviewed documents no sponsorship programme, rate card, media kit, audience demographic sheet or stated availability for paid placements; the profile page in the source set offers no booking route.
Read more
Tamara Grominsky's posts show they convene product marketers in person: an evening AI hackathon in London for roughly 50 PMMs, with free AI-building credits, dinner and drinks, and prizes judged by three named product marketers.
It is the only concrete example of a brand reaching this audience, and is a live-format placement rather than a post or newsletter sponsorship.
For a talk, workshop or paid placement, confirm terms directly; the posts do not establish that these options are available.
The posts mention event sponsorship, credits and prizes but do not state that payment was involved.
AI hackathon evening with brand-provided credits and prizes
Buyer requirement
Tamara Grominsky hosts an in-person London event for around 50 product marketers, with free AI-building credits, dinner and drinks, and prizes drawing attendees.
They get about 90 minutes to build something that solves a real product marketing problem, solo or in teams, and three named product marketers judge the results.
A brand taking this slot needs a tool a non-expert can start using within minutes, since the session is a timed build, and needs to provide the credits and prizes that make the evening worth attending.
Registration ran through a public event page, and the post notes capacity was nearly full, so lead time and seat limits matter more than for an evergreen placement.
Ask directly about sponsorship terms, fees and whether the format is repeatable.
A B2B SaaS company looking to strengthen its product marketing function should consider Tamara Grominsky for a talk or workshop.
Read more
The match is based on audience and subject, not reach.
The strongest audience signal in their posts is self-reported: a 6 October 2026 LinkedIn post invites readers to a newsletter described as reaching more than 9,000 product marketers each week, and their LinkedIn profile showed roughly 25,485 followers when observed on 8 October 2026.
That practitioner concentration suits a capability-building session rather than a broad-awareness buy.
The content fits a talk or workshop for a B2B SaaS product marketing team.
In a 23 September 2026 post, Grominsky gives a three-step way to position product marketing's value: name the business problems the team should own, map each to a measurable outcome, and write a team charter to share with the team, the boss, and cross-functional partners.
In a 6 October 2026 post, they lay out six research methods and the decision each answers — MaxDiff for ranking benefits, messages, or features; Kano for feature decisions; Van Westendorp for an acceptable price range; Conjoint for pricing and packaging trade-offs; a product-market-fit score; and A/B tests.
A 29 September 2026 post argues that copied product marketing rules fail without customer context and recommends focusing on who the best customers are, what they care about, what makes the product different, and why customers choose it.
These frameworks are directly usable in a talk or workshop for a B2B SaaS product marketing team.
The format is demonstrated, too.
A 28 September 2026 post promotes a London AI hackathon for about 50 product marketers, with 90-minute build sessions, named judges, and prizes.
It shows a hands-on, time-boxed session for a practitioner audience, closer to a workshop than a keynote.
The posts do not publish a sponsorship policy, rate card, media kit, or booking route; confirm terms and availability directly.
They also provide no audience demographics on seniority, company size, or geography, so ask for those before booking if they matter to the campaign.
The audience is modest in reach terms — a 25,485-follower account and a self-reported 9,000-subscriber newsletter — making this a poor fit for a campaign focused on impressions or mass reach.
For a room of practising product marketers who can leave with a framework and a research plan, the posts support the fit.
When to choose a specialist
A consumer fintech brand seeking a paid placement to reach several hundred thousand general consumers and drive app installs is a poor fit.
Read more
The content is written for people who already work in product marketing, not consumers.
The four posts discuss product marketing team charters, research methods for pricing and packaging decisions, product marketing advice on LinkedIn, and a product marketing AI hackathon.
None addresses a consumer audience, a consumer product category, or app adoption.
The audience signal points the same way.
The only measured figure is a LinkedIn profile showing roughly 25,485 followers; the only other number is self-reported: a newsletter described as reaching more than 9,000 product marketers weekly.
The only brand-facing format shown is a London evening event for about 50 product marketers.
That practitioner audience and event format do not support a mass consumer campaign.
The posts do not mention a media kit, rate card, sponsorship policy, or booking route, so confirm commercial terms directly.
A campaign that needs consumer reach, install volume, or a documented sponsorship menu should look elsewhere rather than treat a practitioner audience as a substitute.
The work serves a different audience and goal.
A worked campaign example
Worked campaign angle for a B2B SaaS product marketing team: a 90-minute workshop on choosing research to settle a decision and positioning the team's value.
Pre-work: the client team brings two or three open decisions — for example, a pricing change, a packaging question, or a message test.
Part 1 (25 minutes) — Positioning product marketing's value.
Use the three-step sequence from the 23 September 2026 post: list the business problems the team should own (not tasks like product launches or competitive intel), map each problem to the outcome it changes and how that outcome will be measured, then draft a one-page team charter.
The team leaves with a draft charter, not just notes.
Part 2 (45 minutes) — Choosing a research method.
Walk through the six-method menu from the 6 October 2026 post: MaxDiff for ranking benefits, messages, or features; Kano for deciding which features to build or improve; Van Westendorp for an acceptable price range; Conjoint for pricing and packaging trade-offs; a product-market-fit score for fit with a specific user group; and A/B tests for comparing versions with real users.
For each open decision, match it to the method that answers it.
Make the post's point explicit: the team does not have to run all of these, but knowing the menu makes the choice easier.
Part 3 (20 minutes) — Commit.
Each team picks one decision, names the method, and writes the question the research will answer and who will read the result.
Close with a one-page handout of the menu and the charter template.
Why this angle works: it uses the frameworks in the posts, is designed for practising product marketers, and follows the hands-on, time-boxed format of the 28 September 2026 hackathon post rather than a lecture.
Confirm fees, availability, and whether the format is repeatable; the posts do not mention a sponsorship policy or booking route.
If the client's success measure is reach or impressions rather than a team leaving with a charter and a research plan, this angle does not meet it.
Choose Priyanshu Gautam if the workshop should start from buyer psychology and how messages land.
Read more
The 30 April 2025 post names five principles — von Restorff, framing, scarcity, cognitive load, and mere exposure — and gives a product marketing use for each: spotlight one benefit so a message sticks, frame data around opportunity rather than fear, use deadlines for early access, simplify onboarding and internal documentation, and build familiarity through repeated touchpoints. That is a useful module for a team that already knows which research to run and wants help turning findings into messages and campaigns.
The posts focus on research methods rather than how to choose among them: they do not set out a method-selection menu such as MaxDiff, Kano, Van Westendorp, Conjoint, product-market-fit scoring, or A/B tests, or show a workshop format or audience measures. Before booking a session on choosing research to settle pricing, packaging, or messaging decisions, ask Grominsky for their research menu and workshop format.
Choose Erin Dorshorst if the practical question is how to define and hire a product marketing role inside a B2B company.
Read more
The 20 April 2026 post is a hiring notice for a B2B product marketing manager at Accertify, with responsibilities across positioning, go-to-market, sales and customer success enablement, and market insight, plus stated location, salary, and experience requirements.
The 25 March 2026 post describes product marketing as sitting at the intersection of truth and translation across product, sales, and marketing.
Together they suit a session on role scope, hiring expectations, and how a product marketing function is positioned internally.
The posts focus more on role definition and hiring than on teaching research methods.
Neither gives a research-method menu or a workshop exercise.
A team that wants to leave with a research plan and a tested way to position product marketing's value would get role language and hiring criteria from Erin Dorshorst.
Ask Grominsky for research and charter content before booking.
Choose Shaun Chavis if the product marketing team's priority is building an owned publication or newsletter rather than running research.
Read more
The 8 April 2026 and 2 April 2026 posts promote Substack webinars for consultants, coaches, journalists, artists, photographers, food creators, and businesses, covering what Substack offers, socializing a brand, optimizing the publication, and tracking early growth. That is a fit for a workshop on turning expertise into a newsletter and a personal brand.
The posts focus on a different category and task: they do not discuss B2B SaaS product marketing, research methods, pricing and packaging decisions, or positioning a product marketing team's value.
A B2B SaaS buyer would be booking a publishing workshop, not a product marketing capability session.
Ask for a separate module on choosing research methods.
Four public LinkedIn posts by Tamara Grominsky address product marketing's business value, a critique of universal product marketing advice, six research methods for product and pricing decisions, and a London AI hackathon.
The post text carries no publication dates; a snapshot dated 8 October 2026 showed roughly 25,485 followers.
These four posts and the profile sections give a view of Tamara Grominsky's public content.
What the posts cover: practical product marketing arguments and frameworks, including a three-step sequence for positioning the team's value, a six-method research menu (MaxDiff, Kano, Van Westendorp, Conjoint, a product-market-fit score, and A/B tests), and one hands-on event format for about 50 product marketers.
Comparisons with similar creators draw on six LinkedIn posts by Priyanshu Gautam, Erin Dorshorst, and Shaun Chavis, dated March 2025 to April 2026.
What remains open: no long-form articles, videos, or transcripts are available here, so the recurring themes and format tags come from a small set of posts rather than a full survey of Tamara Grominsky's output.
The posts here do not say whether there is a sponsorship policy, rate card, media kit, or booking route, and they do not provide audience demographics covering seniority, company size, or geography.
Audience composition and commercial terms therefore remain unverified.
