What are AARRR (pirate) metrics?

AARRR is a five-stage funnel framework — Acquisition, Activation, Retention, Referral, Revenue — coined by Dave McClure. It gives a startup one metric per stage so problems can be located rather than guessed at. The order matters: fixing acquisition while retention leaks is the classic misuse.

What is the difference between activation and retention?

Activation is a user reaching first value — the moment your product proves it works for them. Retention is them coming back after that. Activation is a one-time event you can design, retention is an ongoing verdict on whether the value holds. Fixing retention with an activation problem underneath never works.

What is the difference between ARR and MRR?

MRR is monthly recurring revenue — the predictable subscription revenue you bill in a month. ARR is annual recurring revenue, usually just MRR multiplied by twelve. The distinction that matters is not the timeframe but the word recurring: one-off fees, services and usage overages belong in neither, and including them is the most common way these numbers get inflated.

What is the difference between bottom-up and top-down sales?

Bottom-up starts with individual users adopting a product and spreading it inside the company until a purchase becomes formality. Top-down starts with an executive buying for the organisation and rolling it out. Bottom-up needs a product one person can love; top-down needs a business case one executive can defend.

How do you make a build vs buy decision?

Build what differentiates you, buy what doesn't. The test isn't cost — it's whether customers would ever choose you because of this component. Teams get burned by underestimating the permanent maintenance cost of building, and by buying the one thing that was actually their edge.

What is bundling and unbundling in product strategy?

Bundling combines several capabilities into one offering; unbundling splits a capability out of an incumbent bundle and does it much better alone. Startups typically unbundle to get a wedge, then re-bundle as they grow — the cycle is real, but the failure mode is unbundling your own product for internal reasons and calling it strategy.

What is the DAU/MAU ratio and what is a good one?

DAU/MAU divides daily active users by monthly active users to estimate how many days a month the average user shows up. 20% is a common baseline, 50%+ is exceptional. It only means something for products people should use daily — applying it to a tax product or a job board produces nonsense.

Should you fine-tune a model or use RAG?

Use RAG when the model needs knowledge it does not have — documents, current data, anything that changes. Fine-tune when it needs a behaviour it will not follow reliably from a prompt — a format, a style, a narrow classification task. Knowledge problems are almost always RAG problems, and most teams reach for fine-tuning to solve one and are disappointed.

Freemium vs free trial — which should you choose?

A free trial gives full access for a limited time; freemium gives limited access forever. Trials suit products with fast, obvious value and a clear buying moment. Freemium suits products with network effects or slow-building value, and only works if the free tier costs you little to serve.

What is the difference between horizontal and vertical SaaS?

Horizontal SaaS solves one function across every industry — CRM, payroll, ticketing. Vertical SaaS solves many functions for one industry, like software for dental practices or construction firms. Horizontal has a larger market and fiercer competition; vertical has a smaller ceiling and far better retention.

How many users do you need for user research?

Five to eight users per segment for qualitative usability work — that range surfaces most severe issues, and returns drop sharply after. Quantitative claims need hundreds. The mistake isn't sample size, it's using five interviews to justify a number instead of a direction.

How do you become a product manager without prior PM experience?

Do the job before you have the title. Find product-shaped work in your current role — a problem you can research, define and get shipped — and build a track record of decisions with outcomes. Internal transfers are by far the most common route in, and the least discussed.

How do you build a referral program that works?

Reward both sides, make the reward something that makes your product better rather than cash where possible, and place the ask at the moment of realised value rather than at signup. Most referral programmes fail because they ask too early, reward only the referrer, or attract people motivated by the incentive rather than the product.

How do you prepare for a product manager interview?

Prepare four things: a structured approach to product-sense questions, a way to reason about metrics out loud, two or three of your own stories told in detail, and genuine knowledge of the company's product. Most candidates over-prepare frameworks and under-prepare their own examples, and the examples are what actually differentiate.

How do you price a product?

Price against the value the customer receives, not against your costs and not against a competitor's list price. Pick a value metric that grows as the customer gets more out of the product, then set the level by testing willingness to pay in the segment you actually want. Most products are underpriced, and the usual cause is founders projecting their own price sensitivity onto buyers.

How do you run a good customer interview?

Ask about specific past behaviour, not hypothetical futures. Tell me about the last time you had this problem produces evidence; would you use a feature that does X produces politeness. Keep the interview to one story told in detail, resist pitching your idea, and stop talking — the useful material is almost always in the pause you were tempted to fill.

How do you say no to stakeholders without damaging the relationship?

Say no to the solution while taking the problem seriously. Most stakeholder requests are a proposed fix wrapped around a real pain — rejecting the fix while visibly capturing the pain preserves the relationship. Saying no to both is what makes people route around you.

Should a product manager go into management or stay an individual contributor?

They are different jobs at the same level, not a ladder. Management means your output is your team's output — hiring, coaching, unblocking, allocating. The senior IC track means you keep doing product work on the hardest problems. Choose on which set of daily activities you find energising, not on which sounds more senior.

What is jobs-to-be-done (JTBD)?

Jobs-to-be-done says people don't buy products, they hire them to make progress in a situation. The unit of analysis is the job, not the customer — which is why demographic personas often mislead and why your real competitor is frequently a spreadsheet, a habit, or doing nothing at all.

What is a good LTV to CAC ratio?

LTV:CAC compares the gross profit a customer generates over their lifetime to what it cost to acquire them. Around 3:1 is the common benchmark — below 1:1 you lose money on every customer, and far above 3:1 usually means you are underspending on growth rather than winning. The ratio is only as honest as the retention assumption inside LTV.

What is the difference between OKRs and KPIs?

KPIs are the numbers you watch continuously to know whether the business is healthy. OKRs are the ambitious, time-boxed changes you commit to this quarter. A KPI can run flat forever and still be doing its job; an OKR that doesn't move has failed. Most confusion comes from writing KPIs and calling them OKRs.

Should you focus on paid or organic acquisition?

Paid buys immediate, controllable volume and stops the moment you stop paying. Organic compounds and cannot be switched on quickly. The honest answer for most companies is paid to learn and organic to grow — use paid channels to find which message and segment works, then build the compounding channel around what you learned.

What are the product manager career levels?

The common ladder runs associate PM, PM, senior PM, then a split into group PM or principal PM, and above that director, VP and CPO. What changes across levels is not the amount of work but the size and ambiguity of the problem you are handed — juniors are given a defined problem, seniors are given an outcome, and leaders are given a market.

What should a product manager do in their first 90 days?

Spend the first month learning rather than proposing — talk to customers, read support tickets, use the product until you hit its rough edges, and find out how decisions actually get made. Then ship one small useful thing to establish credibility, and only after that propose a direction. New PMs who arrive with a strategy in week two are usually wrong and always resented.

What is the difference between a product manager and a product owner?

Product manager is a role covering strategy, discovery and outcomes. Product owner is a specific title from Scrum, responsible for the backlog and for representing requirements to the development team. In many companies one person does both; where they're split, the PO's scope is deliberately narrower.

What is the difference between a product manager and a project manager?

A product manager is accountable for what gets built and whether it works for customers. A project manager is accountable for delivery — scope, schedule, dependencies and risk. One optimises for outcome, the other for predictable execution, and confusing them produces teams that ship on time to no effect.

How should product managers think about technical debt?

Technical debt is deliberate or accidental shortcutting that makes future changes slower. PMs should treat it as a tax on delivery speed rather than an engineering hobby — the question is never 'should we pay it down' but 'which debt is charging us the most interest right now'.

RICE vs ICE — which prioritisation framework should you use?

ICE scores Impact, Confidence and Ease; RICE adds Reach and swaps Ease for Effort, giving a value-per-unit-of-work score. Use ICE when you need to rank a backlog in an afternoon. Use RICE when reach genuinely varies between items and you need to defend the order to someone else.

Should you build your product on a foundation model API?

Almost always yes for the intelligence layer — training your own model rarely beats an API on cost or quality. The real question is what you own besides the model call, because that's the only part a provider shipping your feature natively can't take from you.

When should you use a survey instead of interviews?

Interviews tell you what is happening and why; surveys tell you how many. Use interviews when you do not yet know what the options are, and surveys once you do — a survey can only measure the answers you already thought to offer. Running the survey first is the most common and most expensive ordering mistake in product research.

What are vanity metrics?

A vanity metric is a number that reliably goes up, looks impressive, and changes no decision. Total registered users, cumulative downloads and pageviews are the classic examples — they only ever increase, so they can never tell you something is wrong. The test is simple: if a metric moving could not change what you do next week, it is vanity.

What is the difference between vision, strategy and roadmap?

Vision is the future state you are trying to create and rarely changes. Strategy is the choice of how to get there — which means choosing what not to do. Roadmap is the sequence of work implied by the strategy. Most companies that claim to lack a strategy actually have a vision and a roadmap with nothing in between, which is why their roadmap is a wish list.

What are LLM evals and why do AI products need them?

Evals are a test suite for model behaviour — a fixed set of inputs with expected properties, run automatically so you can tell whether a prompt, model or retrieval change made things better or worse. They exist because LLM outputs are non-deterministic, so the alternative is a team trying a few examples by hand and forming an impression.

What does a product manager actually do?

A product manager decides what gets built and why, then makes sure it happens. Day to day that means research, prioritisation, writing, and a lot of alignment across engineering, design and the business. The role has no authority attached — influence comes from judgment and evidence.

How do you run a good beta program?

A beta exists to answer a specific question before general release — usually does this hold up in real conditions, not do people like it. Recruit for the situation you need represented rather than for enthusiasm, keep the group small enough to talk to individually, set an explicit end date, and decide in advance what result would make you not ship.

What is a context window?

The context window is the maximum amount of text — measured in tokens — a model can consider at once, covering the system prompt, conversation history, retrieved documents and the response. Larger windows are not automatically better: attention degrades across very long contexts, cost rises with every token, and filling a window is rarely a substitute for retrieving well.

What is a growth loop and how is it different from a funnel?

A funnel is linear — traffic enters at the top and some fraction converts, so more growth requires more input. A growth loop is circular: the output of one cycle becomes the input to the next, so each cohort of users produces the next one. Loops compound and funnels do not, which is why loop-driven companies keep growing when they stop spending.

What is a competitive moat?

A moat is a structural advantage that makes your position harder to attack over time — network effects, switching costs, proprietary data, economies of scale, or brand. Features are not moats. If a well-funded competitor could copy it in a quarter, it's a lead, not a moat.

What is a north star metric?

A north star metric is the single number that best captures the value your product delivers to customers. Good ones measure realised value, not activity — Spotify tracks time spent listening, not signups. It exists to align teams on one outcome, and there should only ever be one.

What is a PRD and what goes in one?

A product requirements document states the problem, who has it, what success looks like, and what's in and out of scope. Its purpose is alignment before building, not documentation after. A PRD nobody argues with in review is usually too vague to be useful.

What is a product roadmap and how detailed should it be?

A product roadmap communicates what you intend to build and why, over time. The useful version states problems and outcomes rather than dated features — because dated feature lists become promises, and promises made twelve months out are wrong in ways that damage trust when they change.

What is a retention curve and what does it mean when it flattens?

A retention curve plots what percentage of a cohort is still active at each period after signup. It always falls at first — the question is whether it flattens into a horizontal line, which means you have a group of users who keep coming back indefinitely. A curve that keeps declining toward zero means you have no retained base, only a leaky funnel.

What is a technical product manager?

A technical product manager works on products whose users or building blocks are technical — APIs, infrastructure, developer tools, platforms. The difference isn't seniority or coding ability; it's that the customer is an engineer, so understanding their workflow requires real technical depth.

What is a viral loop?

A viral loop is a cycle where using the product causes existing users to bring new ones, who then repeat the cycle. It's measured by the viral coefficient (K) — new users generated per existing user per cycle. K above 1 compounds; below 1, it usefully lowers acquisition cost but doesn't grow on its own.

An AI agent is a system that pursues a goal over multiple steps, choosing its own actions and using tools, rather than answering a single prompt. The distinguishing feature is autonomy over the sequence — the model decides what to do next, which is also where most of the product risk lives.

What is an MVP (minimum viable product)?

An MVP is the smallest thing that generates a real learning about whether people want what you're building. Viable means it delivers actual value to someone, not that it's technically functional — which is why a manual, unscalable process often makes a better MVP than a thin version of the full product.

What is an opportunity solution tree?

An opportunity solution tree is a visual map connecting one desired outcome to the customer opportunities that could produce it, then to candidate solutions, then to the experiments that would test them. Its purpose is structural: it makes visible whether you are exploring several ways to reach an outcome or have quietly committed to one idea and are now only elaborating it.

What is blitzscaling?

Blitzscaling is prioritising speed over efficiency in conditions of uncertainty, deliberately accepting waste and organisational chaos to win a market before competitors can. It's rational only when the market is genuinely winner-take-most and you have the capital to survive the burn.

What is blue ocean strategy?

Blue ocean strategy means competing where competition doesn't exist yet — creating new demand rather than fighting for share in a saturated market. The mechanism is deliberately dropping attributes the industry treats as mandatory, and adding ones it ignores, so you're no longer comparable.

What is churn rate and what counts as good?

Churn rate is the share of customers or revenue lost in a period. Below roughly 1% monthly is strong for B2B SaaS; consumer subscription churn is routinely 5-8%. But the headline number matters far less than its shape — churn concentrated in month one is an onboarding problem, not a retention one.

What is cohort analysis?

Cohort analysis groups users by when they joined and tracks each group separately over time. It exists because aggregate metrics hide direction: total usage can grow while every individual cohort retains worse than the last. Cohorts are how you tell growth from churn masked by acquisition.

72 answers

The answer first.
Then the argument.

Most explanations of product concepts spend four paragraphs warming up. These start with a straight answer in the first three lines, then get into where the idea breaks down, what people get wrong about it, and which companies got it right or badly wrong — with the case study to prove it.

MetricsUpdated 7 Sept 2026
What are AARRR (pirate) metrics?
AARRR is a five-stage funnel framework — Acquisition, Activation, Retention, Referral, Revenue — coined by Dave McClure. It gives a startup one metric per stage so problems can be located rather than guessed at. The order matters: fixing acquisition while retention leaks is the classic misuse.
Read the full answer
MetricsUpdated 7 Sept 2026
What is the difference between activation and retention?
Activation is a user reaching first value — the moment your product proves it works for them. Retention is them coming back after that. Activation is a one-time event you can design, retention is an ongoing verdict on whether the value holds. Fixing retention with an activation problem underneath never works.
Read the full answer
MetricsUpdated 8 Sept 2026
What is the difference between ARR and MRR?
MRR is monthly recurring revenue — the predictable subscription revenue you bill in a month. ARR is annual recurring revenue, usually just MRR multiplied by twelve. The distinction that matters is not the timeframe but the word recurring: one-off fees, services and usage overages belong in neither, and including them is the most common way these numbers get inflated.
Read the full answer
GrowthUpdated 7 Sept 2026
What is the difference between bottom-up and top-down sales?
Bottom-up starts with individual users adopting a product and spreading it inside the company until a purchase becomes formality. Top-down starts with an executive buying for the organisation and rolling it out. Bottom-up needs a product one person can love; top-down needs a business case one executive can defend.
Read the full answer
StrategyUpdated 7 Sept 2026
How do you make a build vs buy decision?
Build what differentiates you, buy what doesn't. The test isn't cost — it's whether customers would ever choose you because of this component. Teams get burned by underestimating the permanent maintenance cost of building, and by buying the one thing that was actually their edge.
Read the full answer
StrategyUpdated 8 Sept 2026
What is bundling and unbundling in product strategy?
Bundling combines several capabilities into one offering; unbundling splits a capability out of an incumbent bundle and does it much better alone. Startups typically unbundle to get a wedge, then re-bundle as they grow — the cycle is real, but the failure mode is unbundling your own product for internal reasons and calling it strategy.
Read the full answer
MetricsUpdated 7 Sept 2026
What is the DAU/MAU ratio and what is a good one?
DAU/MAU divides daily active users by monthly active users to estimate how many days a month the average user shows up. 20% is a common baseline, 50%+ is exceptional. It only means something for products people should use daily — applying it to a tax product or a job board produces nonsense.
Read the full answer
AIUpdated 8 Sept 2026
Should you fine-tune a model or use RAG?
Use RAG when the model needs knowledge it does not have — documents, current data, anything that changes. Fine-tune when it needs a behaviour it will not follow reliably from a prompt — a format, a style, a narrow classification task. Knowledge problems are almost always RAG problems, and most teams reach for fine-tuning to solve one and are disappointed.
Read the full answer
GrowthUpdated 7 Sept 2026
Freemium vs free trial — which should you choose?
A free trial gives full access for a limited time; freemium gives limited access forever. Trials suit products with fast, obvious value and a clear buying moment. Freemium suits products with network effects or slow-building value, and only works if the free tier costs you little to serve.
Read the full answer
StrategyUpdated 7 Sept 2026
What is the difference between horizontal and vertical SaaS?
Horizontal SaaS solves one function across every industry — CRM, payroll, ticketing. Vertical SaaS solves many functions for one industry, like software for dental practices or construction firms. Horizontal has a larger market and fiercer competition; vertical has a smaller ceiling and far better retention.
Read the full answer
DiscoveryUpdated 7 Sept 2026
How many users do you need for user research?
Five to eight users per segment for qualitative usability work — that range surfaces most severe issues, and returns drop sharply after. Quantitative claims need hundreds. The mistake isn't sample size, it's using five interviews to justify a number instead of a direction.
Read the full answer
RoleUpdated 7 Sept 2026
How do you become a product manager without prior PM experience?
Do the job before you have the title. Find product-shaped work in your current role — a problem you can research, define and get shipped — and build a track record of decisions with outcomes. Internal transfers are by far the most common route in, and the least discussed.
Read the full answer
GrowthUpdated 8 Sept 2026
How do you build a referral program that works?
Reward both sides, make the reward something that makes your product better rather than cash where possible, and place the ask at the moment of realised value rather than at signup. Most referral programmes fail because they ask too early, reward only the referrer, or attract people motivated by the incentive rather than the product.
Read the full answer
RoleUpdated 8 Sept 2026
How do you prepare for a product manager interview?
Prepare four things: a structured approach to product-sense questions, a way to reason about metrics out loud, two or three of your own stories told in detail, and genuine knowledge of the company's product. Most candidates over-prepare frameworks and under-prepare their own examples, and the examples are what actually differentiate.
Read the full answer
StrategyUpdated 8 Sept 2026
How do you price a product?
Price against the value the customer receives, not against your costs and not against a competitor's list price. Pick a value metric that grows as the customer gets more out of the product, then set the level by testing willingness to pay in the segment you actually want. Most products are underpriced, and the usual cause is founders projecting their own price sensitivity onto buyers.
Read the full answer
DiscoveryUpdated 8 Sept 2026
How do you run a good customer interview?
Ask about specific past behaviour, not hypothetical futures. Tell me about the last time you had this problem produces evidence; would you use a feature that does X produces politeness. Keep the interview to one story told in detail, resist pitching your idea, and stop talking — the useful material is almost always in the pause you were tempted to fill.
Read the full answer
PrioritisationUpdated 7 Sept 2026
How do you say no to stakeholders without damaging the relationship?
Say no to the solution while taking the problem seriously. Most stakeholder requests are a proposed fix wrapped around a real pain — rejecting the fix while visibly capturing the pain preserves the relationship. Saying no to both is what makes people route around you.
Read the full answer
RoleUpdated 8 Sept 2026
Should a product manager go into management or stay an individual contributor?
They are different jobs at the same level, not a ladder. Management means your output is your team's output — hiring, coaching, unblocking, allocating. The senior IC track means you keep doing product work on the hardest problems. Choose on which set of daily activities you find energising, not on which sounds more senior.
Read the full answer
DiscoveryUpdated 7 Sept 2026
What is jobs-to-be-done (JTBD)?
Jobs-to-be-done says people don't buy products, they hire them to make progress in a situation. The unit of analysis is the job, not the customer — which is why demographic personas often mislead and why your real competitor is frequently a spreadsheet, a habit, or doing nothing at all.
Read the full answer
MetricsUpdated 8 Sept 2026
What is a good LTV to CAC ratio?
LTV:CAC compares the gross profit a customer generates over their lifetime to what it cost to acquire them. Around 3:1 is the common benchmark — below 1:1 you lose money on every customer, and far above 3:1 usually means you are underspending on growth rather than winning. The ratio is only as honest as the retention assumption inside LTV.
Read the full answer
MetricsUpdated 7 Sept 2026
What is the difference between OKRs and KPIs?
KPIs are the numbers you watch continuously to know whether the business is healthy. OKRs are the ambitious, time-boxed changes you commit to this quarter. A KPI can run flat forever and still be doing its job; an OKR that doesn't move has failed. Most confusion comes from writing KPIs and calling them OKRs.
Read the full answer
GrowthUpdated 8 Sept 2026
Should you focus on paid or organic acquisition?
Paid buys immediate, controllable volume and stops the moment you stop paying. Organic compounds and cannot be switched on quickly. The honest answer for most companies is paid to learn and organic to grow — use paid channels to find which message and segment works, then build the compounding channel around what you learned.
Read the full answer
RoleUpdated 8 Sept 2026
What are the product manager career levels?
The common ladder runs associate PM, PM, senior PM, then a split into group PM or principal PM, and above that director, VP and CPO. What changes across levels is not the amount of work but the size and ambiguity of the problem you are handed — juniors are given a defined problem, seniors are given an outcome, and leaders are given a market.
Read the full answer
RoleUpdated 8 Sept 2026
What should a product manager do in their first 90 days?
Spend the first month learning rather than proposing — talk to customers, read support tickets, use the product until you hit its rough edges, and find out how decisions actually get made. Then ship one small useful thing to establish credibility, and only after that propose a direction. New PMs who arrive with a strategy in week two are usually wrong and always resented.
Read the full answer
RoleUpdated 7 Sept 2026
What is the difference between a product manager and a product owner?
Product manager is a role covering strategy, discovery and outcomes. Product owner is a specific title from Scrum, responsible for the backlog and for representing requirements to the development team. In many companies one person does both; where they're split, the PO's scope is deliberately narrower.
Read the full answer
RoleUpdated 7 Sept 2026
What is the difference between a product manager and a project manager?
A product manager is accountable for what gets built and whether it works for customers. A project manager is accountable for delivery — scope, schedule, dependencies and risk. One optimises for outcome, the other for predictable execution, and confusing them produces teams that ship on time to no effect.
Read the full answer
PrioritisationUpdated 7 Sept 2026
How should product managers think about technical debt?
Technical debt is deliberate or accidental shortcutting that makes future changes slower. PMs should treat it as a tax on delivery speed rather than an engineering hobby — the question is never 'should we pay it down' but 'which debt is charging us the most interest right now'.
Read the full answer
PrioritisationUpdated 7 Sept 2026
RICE vs ICE — which prioritisation framework should you use?
ICE scores Impact, Confidence and Ease; RICE adds Reach and swaps Ease for Effort, giving a value-per-unit-of-work score. Use ICE when you need to rank a backlog in an afternoon. Use RICE when reach genuinely varies between items and you need to defend the order to someone else.
Read the full answer
AIUpdated 7 Sept 2026
Should you build your product on a foundation model API?
Almost always yes for the intelligence layer — training your own model rarely beats an API on cost or quality. The real question is what you own besides the model call, because that's the only part a provider shipping your feature natively can't take from you.
Read the full answer
DiscoveryUpdated 8 Sept 2026
When should you use a survey instead of interviews?
Interviews tell you what is happening and why; surveys tell you how many. Use interviews when you do not yet know what the options are, and surveys once you do — a survey can only measure the answers you already thought to offer. Running the survey first is the most common and most expensive ordering mistake in product research.
Read the full answer
MetricsUpdated 8 Sept 2026
What are vanity metrics?
A vanity metric is a number that reliably goes up, looks impressive, and changes no decision. Total registered users, cumulative downloads and pageviews are the classic examples — they only ever increase, so they can never tell you something is wrong. The test is simple: if a metric moving could not change what you do next week, it is vanity.
Read the full answer
StrategyUpdated 8 Sept 2026
What is the difference between vision, strategy and roadmap?
Vision is the future state you are trying to create and rarely changes. Strategy is the choice of how to get there — which means choosing what not to do. Roadmap is the sequence of work implied by the strategy. Most companies that claim to lack a strategy actually have a vision and a roadmap with nothing in between, which is why their roadmap is a wish list.
Read the full answer
AIUpdated 8 Sept 2026
What are LLM evals and why do AI products need them?
Evals are a test suite for model behaviour — a fixed set of inputs with expected properties, run automatically so you can tell whether a prompt, model or retrieval change made things better or worse. They exist because LLM outputs are non-deterministic, so the alternative is a team trying a few examples by hand and forming an impression.
Read the full answer
RoleUpdated 7 Sept 2026
What does a product manager actually do?
A product manager decides what gets built and why, then makes sure it happens. Day to day that means research, prioritisation, writing, and a lot of alignment across engineering, design and the business. The role has no authority attached — influence comes from judgment and evidence.
Read the full answer
DiscoveryUpdated 8 Sept 2026
How do you run a good beta program?
A beta exists to answer a specific question before general release — usually does this hold up in real conditions, not do people like it. Recruit for the situation you need represented rather than for enthusiasm, keep the group small enough to talk to individually, set an explicit end date, and decide in advance what result would make you not ship.
Read the full answer
AIUpdated 8 Sept 2026
What is a context window?
The context window is the maximum amount of text — measured in tokens — a model can consider at once, covering the system prompt, conversation history, retrieved documents and the response. Larger windows are not automatically better: attention degrades across very long contexts, cost rises with every token, and filling a window is rarely a substitute for retrieving well.
Read the full answer
GrowthUpdated 8 Sept 2026
What is a growth loop and how is it different from a funnel?
A funnel is linear — traffic enters at the top and some fraction converts, so more growth requires more input. A growth loop is circular: the output of one cycle becomes the input to the next, so each cohort of users produces the next one. Loops compound and funnels do not, which is why loop-driven companies keep growing when they stop spending.
Read the full answer
StrategyUpdated 7 Sept 2026
What is a competitive moat?
A moat is a structural advantage that makes your position harder to attack over time — network effects, switching costs, proprietary data, economies of scale, or brand. Features are not moats. If a well-funded competitor could copy it in a quarter, it's a lead, not a moat.
Read the full answer
MetricsUpdated 7 Sept 2026
What is a north star metric?
A north star metric is the single number that best captures the value your product delivers to customers. Good ones measure realised value, not activity — Spotify tracks time spent listening, not signups. It exists to align teams on one outcome, and there should only ever be one.
Read the full answer
DiscoveryUpdated 7 Sept 2026
What is a PRD and what goes in one?
A product requirements document states the problem, who has it, what success looks like, and what's in and out of scope. Its purpose is alignment before building, not documentation after. A PRD nobody argues with in review is usually too vague to be useful.
Read the full answer
PrioritisationUpdated 7 Sept 2026
What is a product roadmap and how detailed should it be?
A product roadmap communicates what you intend to build and why, over time. The useful version states problems and outcomes rather than dated features — because dated feature lists become promises, and promises made twelve months out are wrong in ways that damage trust when they change.
Read the full answer
MetricsUpdated 8 Sept 2026
What is a retention curve and what does it mean when it flattens?
A retention curve plots what percentage of a cohort is still active at each period after signup. It always falls at first — the question is whether it flattens into a horizontal line, which means you have a group of users who keep coming back indefinitely. A curve that keeps declining toward zero means you have no retained base, only a leaky funnel.
Read the full answer
RoleUpdated 7 Sept 2026
What is a technical product manager?
A technical product manager works on products whose users or building blocks are technical — APIs, infrastructure, developer tools, platforms. The difference isn't seniority or coding ability; it's that the customer is an engineer, so understanding their workflow requires real technical depth.
Read the full answer
GrowthUpdated 7 Sept 2026
What is a viral loop?
A viral loop is a cycle where using the product causes existing users to bring new ones, who then repeat the cycle. It's measured by the viral coefficient (K) — new users generated per existing user per cycle. K above 1 compounds; below 1, it usefully lowers acquisition cost but doesn't grow on its own.
Read the full answer
AIUpdated 7 Sept 2026
What is an AI agent?
An AI agent is a system that pursues a goal over multiple steps, choosing its own actions and using tools, rather than answering a single prompt. The distinguishing feature is autonomy over the sequence — the model decides what to do next, which is also where most of the product risk lives.
Read the full answer
DiscoveryUpdated 7 Sept 2026
What is an MVP (minimum viable product)?
An MVP is the smallest thing that generates a real learning about whether people want what you're building. Viable means it delivers actual value to someone, not that it's technically functional — which is why a manual, unscalable process often makes a better MVP than a thin version of the full product.
Read the full answer
PrioritisationUpdated 8 Sept 2026
What is an opportunity solution tree?
An opportunity solution tree is a visual map connecting one desired outcome to the customer opportunities that could produce it, then to candidate solutions, then to the experiments that would test them. Its purpose is structural: it makes visible whether you are exploring several ways to reach an outcome or have quietly committed to one idea and are now only elaborating it.
Read the full answer
GrowthUpdated 7 Sept 2026
What is blitzscaling?
Blitzscaling is prioritising speed over efficiency in conditions of uncertainty, deliberately accepting waste and organisational chaos to win a market before competitors can. It's rational only when the market is genuinely winner-take-most and you have the capital to survive the burn.
Read the full answer
StrategyUpdated 7 Sept 2026
What is blue ocean strategy?
Blue ocean strategy means competing where competition doesn't exist yet — creating new demand rather than fighting for share in a saturated market. The mechanism is deliberately dropping attributes the industry treats as mandatory, and adding ones it ignores, so you're no longer comparable.
Read the full answer
MetricsUpdated 7 Sept 2026
What is churn rate and what counts as good?
Churn rate is the share of customers or revenue lost in a period. Below roughly 1% monthly is strong for B2B SaaS; consumer subscription churn is routinely 5-8%. But the headline number matters far less than its shape — churn concentrated in month one is an onboarding problem, not a retention one.
Read the full answer
MetricsUpdated 7 Sept 2026
What is cohort analysis?
Cohort analysis groups users by when they joined and tracks each group separately over time. It exists because aggregate metrics hide direction: total usage can grow while every individual cohort retains worse than the last. Cohorts are how you tell growth from churn masked by acquisition.
Read the full answer
DiscoveryUpdated 8 Sept 2026
What is concept testing?
Concept testing puts a description or rough representation of an unbuilt product in front of potential users to gauge whether the idea lands before you invest in building it. It is genuinely useful for catching comprehension failures and completely unreliable as a predictor of demand — people can tell you they do not understand something, but not whether they would eventually pay for it.
Read the full answer
DiscoveryUpdated 7 Sept 2026
What is continuous discovery?
Continuous discovery is the practice of talking to customers every week, as an ongoing habit, rather than in project-shaped research phases. The premise is that a small weekly touchpoint compounds into judgment, while a research sprint every six months produces a report that ages before it's used.
Read the full answer
AIUpdated 7 Sept 2026
What is generative engine optimisation (GEO)?
Generative engine optimisation is the practice of making your content likely to be surfaced and cited by AI assistants rather than ranked in a list of links. It overlaps heavily with good SEO, but optimises for being quotable and verifiable rather than for click-through.
Read the full answer
GrowthUpdated 8 Sept 2026
What is the k-factor in viral growth?
K-factor is the number of new users each existing user generates — invitations sent multiplied by the conversion rate of those invitations. Above 1.0 growth is self-sustaining and exponential; below 1.0 each cohort produces a smaller one and virality only amplifies other acquisition. Sustained k above 1 is genuinely rare, and cycle time matters nearly as much as the number.
Read the full answer
AIUpdated 8 Sept 2026
What is MCP (Model Context Protocol)?
MCP is an open protocol that standardises how AI applications connect to external tools and data sources. Instead of every assistant building a bespoke integration for every system, a service exposes one MCP server and any compatible client can use it. It is plumbing — the value is the reduction from an N-times-M integration problem to N plus M.
Read the full answer
PrioritisationUpdated 7 Sept 2026
What is MoSCoW prioritisation?
MoSCoW sorts requirements into Must have, Should have, Could have and Won't have. It's a scoping tool for a fixed deadline, not a roadmap tool — its job is to establish what can be dropped when time runs short, which is why the Won't-have list is the most valuable part.
Read the full answer
GrowthUpdated 7 Sept 2026
What are network effects?
A network effect exists when a product becomes more valuable to each user as more people use it. It's the strongest form of defensibility because the advantage grows with scale, but many claimed network effects are actually local, weak, or just economies of scale wearing a better name.
Read the full answer
MetricsUpdated 8 Sept 2026
What is NPS and is it actually useful?
Net Promoter Score asks how likely someone is to recommend you on a 0-10 scale, then subtracts the percentage of detractors (0-6) from promoters (9-10). It is useful as a tracked trend on a stable population and close to useless as a single number compared across companies, because the score moves with who you sampled and when.
Read the full answer
StrategyUpdated 7 Sept 2026
What is platform risk?
Platform risk is the exposure a business carries when a critical part of its product, distribution or economics depends on a platform it doesn't control. The platform can change terms, absorb your feature, or cut access — and historically all three happen, usually at the worst moment.
Read the full answer
GrowthUpdated 7 Sept 2026
What is product-led growth (PLG)?
Product-led growth is a go-to-market model where the product itself drives acquisition, conversion and expansion — users try it before talking to anyone, and often before their employer knows. It works when time-to-value is short enough that a person can succeed alone, and fails badly when it isn't.
Read the full answer
MetricsUpdated 7 Sept 2026
What is product-market fit?
Product-market fit is the point where a market pulls your product out of you faster than you can supply it. It shows up as retention that flattens instead of decaying, users who complain when it breaks, and sales that get easier. It is a state you observe, not a milestone you declare.
Read the full answer
StrategyUpdated 8 Sept 2026
What is product positioning?
Positioning is the context you put your product in so people understand what it is and why it is better. It is a choice of comparison set — naming the alternative you want to be measured against — plus the attribute on which you win. Weak positioning is nearly always a positioning that avoids naming any competitor at all.
Read the full answer
GrowthUpdated 7 Sept 2026
What is programmatic SEO?
Programmatic SEO generates large numbers of landing pages from a structured dataset, each targeting a specific long-tail query. It works when you own data that genuinely answers those queries, and fails as thin-content spam when the pages are templates with the nouns swapped.
Read the full answer
AIUpdated 7 Sept 2026
What is RAG (retrieval-augmented generation)?
RAG retrieves relevant documents from your own data and puts them in the model's context before it answers, so responses are grounded in your sources rather than only in training data. It's the standard way to make a general model answer accurately about specific, private or recent information.
Read the full answer
StrategyUpdated 8 Sept 2026
What are TAM, SAM and SOM?
TAM is the total market for the problem, SAM is the portion your model can actually serve, and SOM is the share you could realistically win in a few years. The purpose is not the headline number — it is the reasoning that gets you from a large abstraction to a small defensible one, and a bottom-up calculation is worth more than any industry report.
Read the full answer
StrategyUpdated 7 Sept 2026
What is the innovator's dilemma?
The innovator's dilemma is that well-run companies fail by doing exactly what good management prescribes — listening to their best customers, protecting margins, and investing in proven markets. Those behaviours make disruptive entrants look unattractive right up until they're unbeatable.
Read the full answer
PrioritisationUpdated 8 Sept 2026
What is the Kano model?
The Kano model sorts features by how satisfaction responds to them. Basic expectations cause anger when missing and no delight when present, performance features scale linearly with how much you deliver, and delighters produce disproportionate joy but are not missed if absent. Its real use is showing that the three types must be funded differently — and that today's delighter becomes tomorrow's basic expectation.
Read the full answer
PrioritisationUpdated 8 Sept 2026
What is user story mapping?
User story mapping arranges work as a two-dimensional map: the horizontal axis is the sequence of steps a user takes to accomplish something, and the vertical axis is depth of implementation within each step. Slicing horizontally across the map produces a release that works end to end, which is the entire point — a flat backlog cannot show you whether a release is usable.
Read the full answer
AIUpdated 8 Sept 2026
What is vibe coding and what are its risks?
Vibe coding is building software by describing what you want to an AI model and accepting the generated result without closely reviewing it. It is genuinely transformative for prototypes, throwaway tools and exploration. The risk appears when vibe-coded work reaches production, because nobody on the team understands the code well enough to debug, secure or change it.
Read the full answer
PrioritisationUpdated 8 Sept 2026
What is cost of delay and how does WSJF use it?
Cost of delay is what it costs you per unit of time to not have something yet — lost revenue, growing risk, a closing window. WSJF, weighted shortest job first, ranks work by dividing cost of delay by job size, so small urgent things beat large ones. Its value is forcing the question most prioritisation avoids: what does waiting actually cost?
Read the full answer
GrowthUpdated 8 Sept 2026
What makes a good landing page?
One audience, one promise, one action. The page should say what the product does in plain language above the fold, show it rather than describe it, and remove every link that is not the action you want. Most underperforming landing pages fail on clarity rather than persuasion — the visitor cannot tell what the thing is.
Read the full answer

The answer first.Then the argument.

What are AARRR (pirate) metrics?

What is the difference between activation and retention?

What is the difference between ARR and MRR?

What is the difference between bottom-up and top-down sales?

How do you make a build vs buy decision?

What is bundling and unbundling in product strategy?

What is the DAU/MAU ratio and what is a good one?

Should you fine-tune a model or use RAG?

Freemium vs free trial — which should you choose?

What is the difference between horizontal and vertical SaaS?

How many users do you need for user research?

How do you become a product manager without prior PM experience?

How do you build a referral program that works?

How do you prepare for a product manager interview?

How do you price a product?

How do you run a good customer interview?

How do you say no to stakeholders without damaging the relationship?

Should a product manager go into management or stay an individual contributor?

What is jobs-to-be-done (JTBD)?

What is a good LTV to CAC ratio?

What is the difference between OKRs and KPIs?

Should you focus on paid or organic acquisition?

What are the product manager career levels?

What should a product manager do in their first 90 days?

What is the difference between a product manager and a product owner?

What is the difference between a product manager and a project manager?

How should product managers think about technical debt?

RICE vs ICE — which prioritisation framework should you use?

Should you build your product on a foundation model API?

When should you use a survey instead of interviews?

What are vanity metrics?

What is the difference between vision, strategy and roadmap?

What are LLM evals and why do AI products need them?

What does a product manager actually do?

How do you run a good beta program?

What is a context window?

What is a growth loop and how is it different from a funnel?

What is a competitive moat?

What is a north star metric?

What is a PRD and what goes in one?

What is a product roadmap and how detailed should it be?

What is a retention curve and what does it mean when it flattens?

What is a technical product manager?

What is a viral loop?

What is an AI agent?

What is an MVP (minimum viable product)?

What is an opportunity solution tree?

What is blitzscaling?

What is blue ocean strategy?

What is churn rate and what counts as good?

What is cohort analysis?

What is concept testing?

What is continuous discovery?

What is generative engine optimisation (GEO)?

What is the k-factor in viral growth?

What is MCP (Model Context Protocol)?

What is MoSCoW prioritisation?

What are network effects?

What is NPS and is it actually useful?

What is platform risk?

What is product-led growth (PLG)?

What is product-market fit?

What is product positioning?

What is programmatic SEO?

What is RAG (retrieval-augmented generation)?

What are TAM, SAM and SOM?

What is the innovator's dilemma?

What is the Kano model?

What is user story mapping?

What is vibe coding and what are its risks?

What is cost of delay and how does WSJF use it?

What makes a good landing page?

The answer first.
Then the argument.