Business & product strategy tools

An A/B test hypothesis generator structures an experiment so the result is trustworthy rather than a coin flip dressed up as data. Enter the change to test and your primary metric, and it returns a hypothesis in the "because [evidence], we believe [change] will [effect]" format, plus control and variant definitions, guardrail metrics, sample size and duration prompts, and an explicit decision rule.

An AARRR funnel generator turns the five Pirate Metrics stages into a working funnel analysis with conversion rates between each step. Enter your product and activation moment — the specific action that signals a user has experienced core value — and it returns a stage-by-stage table with user counts and conversion percentages, plus a structured block to diagnose your worst drop-off.

An acceptance criteria generator gives you a structured template for the conditions a feature must meet before it is accepted, written in Given-When-Then form. Enter the feature and it returns prompts for the happy path, alternate paths, edge and error cases, and non-functional expectations — with a reminder that criteria describe what the feature does, not how it is built.

The business experiment generator draws from a pool of 14 lean validation tests and returns a shuffled subset. The single input — how many — controls batch size from 1 to 10.

The business goal and OKR generator produces example objectives paired with three placeholder key results, formatted as a single readable line per OKR. The area input selects from five domains — growth, product, marketing, operations, and customer success.

Enter the change you want to make, the audience it targets, and the outcome you expect, and the tool returns a structured hypothesis: "We believe that building [idea] for [audience] will result in [outcome]," plus prompts for the measurable success signal with a timeframe, the riskiest assumption, and the smallest experiment to run first. All three inputs flow directly into the output.

A Business Model Canvas generator produces the full nine-block template from Strategyzer for mapping how a business creates, delivers, and captures value on one page. Enter your business and it returns prompts for all nine blocks — customer segments, value propositions, channels, customer relationships, revenue streams, key resources, key activities, key partnerships, and cost structure — plus a sanity check on whether revenue outpaces cost at scale.

The generator draws from 14 proven revenue patterns — subscription, freemium, marketplace, usage-based, razor-and-blades, open-core, white-label, affiliate, and more — and returns a shuffled selection of however many you request (up to 10). Each entry names the model and its core mechanic in one line.

A referral request generator samples from a pool of seven pre-written messages that ask happy customers to introduce you to someone who might benefit. The single input — how many — controls how many distinct requests you receive (up to seven, since the tool draws without replacement).

The generator draws from a pool of ten single-sentence aspirational statements and returns up to eight without replacement. The statements vary in angle: eliminating a problem, becoming indispensable to customers, simplifying complexity, setting industry standards, building something lasting, and making excellence the default.

Enter a competitor name and the tool returns a six-section analysis framework: positioning and target customer, product strengths and gaps versus yours, pricing model and what it signals, marketing channels and messages, customer review patterns, and the opportunity to differentiate. It closes with a prompt to summarise the single biggest threat and the single biggest opportunity in one sentence each.

A competitor analysis prompt generator draws from a pool of 12 strategic questions and returns a random selection of however many you request — between 3 and 12. Each prompt is designed to push past surface comparisons, asking about customer switching costs, ignored audiences, competitive investment signals, and what rivals are genuinely known for.

The generator assembles vision statements from four word pools — eight action verbs, seven subject groups, six domain phrases, and five impact phrases — combining them into the structure "To [verb] [subject] and [verb] [domain], building [impact]." The count input controls how many statements appear (capped at 12), and a deduplication loop ensures each one in a batch is distinct. Founders drafting a deck, leadership teams running a strategy offsite, and brand consultants refreshing a client's positioning use the output to surface vocabulary and ambition level that resonates before refining a final statement.

The generator draws from 14 journey stages — awareness, consideration, decision, onboarding, first value, adoption, retention, expansion, advocacy, churn risk, win-back, support moment, renewal, and referral — and returns a shuffled selection of however many you request (up to 10). Each stage names a distinct moment with its own customer goal and emotional context.

A customer persona generator combines four pools — role (8 options), goal (6 options), frustration (6 options), and discovery channel (5 options) — into a short structured persona on each run. There are no inputs; every click produces a new random combination, giving you a different starting profile each time.

The decision framework generator draws from a pool of 14 structured approaches to a tough call and returns a shuffled subset. The single input — how many — controls batch size from 1 to 10.

A Definition of Done generator produces a clear, shared checklist for what "done" really means at the story, sprint, or release level. Pick the level and it returns concrete completion criteria — covering code review, testing, documentation, acceptance, deployability, and sign-off — so a team stops arguing about whether work is finished.

Enter your product name and the tool returns seven GTM sections as a structured list: target customer definition, problem and value, positioning against alternatives, pricing and packaging, channels to reach buyers, a first-90-days launch sequence, and the metrics that signal traction. Each section is a prompt framing what to fill in, not a generic placeholder.

A growth experiment generator produces a structured card so growth ideas get tested rigorously rather than shipped on a hunch. Pick the growth lever — Acquisition, Activation, Retention, Referral, or Revenue — describe your idea, and it returns a card with a falsifiable hypothesis, the one primary metric with a baseline and target, a test design, an ICE scoring field, and slots for the result and learning.

A Jobs-to-be-Done prompt generator gives you a structured template for capturing the real job a customer tries to get done, using the "When [situation], I want to [motivation], so I can [outcome]" format. Enter the customer and product context, and it returns the job statement plus prompts for functional, emotional, and social job dimensions, current alternatives, and hiring criteria.

The KPI suggestion generator draws from a pool of 14 business metrics and returns a shuffled subset. The single input — how many — controls batch size from 1 to 10.

A Lean Canvas generator builds Ash Maurya's one-page adaptation of the Business Model Canvas, tuned for startups. Enter your startup idea and it returns all nine blocks — problem, customer segments, unique value proposition, solution, channels, revenue streams, cost structure, key metrics, and unfair advantage — plus a prompt to name your riskiest assumption.

Enter your market and the segment you will target first, and the tool returns a TAM/SAM/SOM framework: total addressable market as customer count times average annual spend, serviceable available market narrowed to your segment by geography and fit, and serviceable obtainable market as a realistic near-term share. Each layer includes prompts for the assumption behind it and the data source to validate it.

The generator draws from 14 channels — content and SEO, paid search, referral programs, partnerships, community building, events, influencer collaborations, cold outreach, app store optimisation, and more — and returns a shuffled selection of however many you request (up to 10). Each entry names the channel and how it works in one line.

An MVP scoping generator helps you define an experiment around the one assumption you most need to test. Enter your product idea and its riskiest assumption, and it returns a template with a falsifiable hypothesis, the single core job the MVP must do, a build-versus-cut list, an MVP type (concierge, landing page, Wizard of Oz, or single-feature build), and success criteria telling you whether to continue, pivot, or stop.

A North Star metric generator helps you define the single metric that best captures the value your product delivers, plus the input metrics that drive it. Enter your product and the core value it provides, and it returns a candidate North Star, four input levers — breadth, depth, efficiency, and retention — guardrail metrics, and an anti-pattern check against vanity numbers.

An OKR generator produces structured Objectives and Key Results for a specific department and timeframe. Select the department — sales, marketing, product, engineering, HR, customer, or operations — then choose quarterly or annual.

An OKR objective generator solves the blank-page problem that stalls most quarterly planning sessions. Select a team — Marketing, Sales, Product, Engineering, HR & People, Customer Success, Finance, Operations, or Leadership — choose a timeframe from Q1 through Annual, set a count, and get a batch of aspirational, directional objectives phrased in the register each department actually uses.

A Pirate Metrics generator builds Dave McClure's AARRR framework — Acquisition, Activation, Retention, Referral, and Revenue — the five stages every customer moves through. Enter your product and it returns each stage with a metric prompt, a goal slot, and a note on your biggest leak.

The product feature name generator draws from a pool of 14 clear, marketable names and returns a shuffled subset. The single input — how many — controls batch size from 1 to 10.

The generator draws from 14 diagnostic questions — what problem does this solve and for whom, what is explicitly out of scope, what does done mean with acceptance criteria, what is the rollout and rollback plan, and more — and returns a shuffled selection of however many you request (up to 10). Each question targets a gap that commonly sinks a feature: unclear scope, missing success metric, or unhandled edge cases.

A product-market fit assessment generator builds a structured diagnostic centred on the Sean Ellis test. Enter your product name and it returns the canonical survey question — how users would feel if they could no longer use it — with the 40% "very disappointed" benchmark, plus prompts to identify your most loyal segment, the benefit they cite, your retention curve shape, organic growth signals, and a verdict of pre-fit, approaching, or fit.

The project risk generator draws from a pool of 14 recognisable failure modes and returns a shuffled subset. The single input — how many — controls batch size from 1 to 10.

The generator picks one objective from a pool of seven (Delight our customers, Accelerate revenue growth, Strengthen the core product, and four more), then samples three key results without replacement from twelve concrete, numeric metrics — outputs like "Increase quarterly revenue by 20%", "Cut churn from 6% to 4%", and "Lift employee engagement score to 8/10". The result is a pre-formatted OKR block with the objective on top and the three key results bulleted beneath.

The roadmap theme generator draws from a pool of 14 outcome-focused themes and returns a shuffled subset. The single input — how many — controls batch size from 1 to 10.

A SaaS feature announcement generator plugs a feature name into seven benefit-led templates and returns a deduplicated set of announcement lines. Two inputs control the output: feature (what you are shipping, e.g.

A SMART goal generator turns a fuzzy objective into a structured goal that is Specific, Measurable, Achievable, Relevant, and Time-bound. Enter the objective and who owns it, and it returns a one-line goal statement, a prompt for each SMART element including a baseline-to-target metric, a deadline with a mid-point check-in, and a first next step.

A stakeholder map generator builds the classic power-interest grid for identifying everyone who can affect or is affected by an initiative. Enter your project and it returns the four quadrants — manage closely, keep satisfied, keep informed, and monitor — with the engagement strategy for each, plus a per-stakeholder template for their concerns, current stance, what you need, and your engagement plan.

The generator produces a plain-text template with labelled placeholders for every component of a stakeholder update: a randomised opener, an overall status line drawn from four options (On track, At risk, Ahead of plan, Needs attention), highlights, key metrics with period-on-period change slots, risks and blockers with mitigation notes, next steps, and a specific asks section. Every placeholder is bracketed, so the template is ready to fill in immediately.

The SWOT analysis prompt generator produces labelled discussion questions drawn from all four quadrants — Strength, Weakness, Opportunity, and Threat. The pool contains twelve prompts (three per quadrant), and the count input (4–16) controls how many you receive; the generator samples without replacement, so each run gives you distinct questions.

The generator draws from 14 distinct archetypes — the Busy Professional, the Skeptical Decision-Maker, the Overwhelmed Switcher, the Internal Champion, and eleven more — shuffling them each run and returning however many you request (up to 10). Each persona names a mindset, a core need, and a decisive trait in one sentence, giving you a seed you can flesh out with goals and frustrations.

A user story generator writes a well-formed agile story in the canonical "As a [role], I want [goal], so that [benefit]" format. Enter the role, the goal, and the benefit, and it returns the story plus draft acceptance criteria in Given-When-Then form and an INVEST checklist to pressure-test quality before the story enters a sprint.

A Value Proposition Canvas generator builds the two-sided template from Strategyzer that checks whether your product fits what customers want. Enter the customer segment and your product, and it returns the customer profile — jobs, pains, and gains — alongside the value map — pain relievers and gain creators — plus a fit check that forces each reliever and creator to map to a real pain or gain.

A value proposition generator produces benefit-driven statements that name your audience, the outcome they get, and how you deliver it. Enter your product name and target audience, set the count, and the tool generates multiple distinct framings: some lead with the audience role, some with the outcome verb, some use a 'the [product] that...' structure.

The tool slots your audience input into one of six fill-in template structures, each built around a distinct angle: saving time, removing frustration, demonstrating visible results, being the obvious choice, making a hard process enjoyable, or delivering reliable quality. The audience field (free text) is inserted directly; the count input (1–10) draws randomly from those six templates.