Pricing and packaging assumptions
Proposed tiers, value metric options, included limits, discount logic, migration rules, and the pricing hypothesis behind the offer.
Use a pricing research tool to inspect willingness to pay, buyer value signals, competitor pricing, packaging assumptions, discount pressure, and pricing research gaps before setting the price.
Built for scenario planning, not certainty. Every output should be reviewed against real evidence before an operating decision.
Scenario tape / illustrative
Pricing research for a package and value metric decision
Dominant question
Will buyers pay?
Research gap
Willingness to pay
Next test
Price proof
Input
Pricing notes, segments, competitors
Engine
Buyer, competitor, and package evidence review
Output
Pricing gaps and research plan
What to bring
A pricing research tool is most useful when B2B and SaaS teams have early price ideas, segment notes, competitor anchors, sales objections, or interview evidence that needs to be organized into clear research questions.
Proposed tiers, value metric options, included limits, discount logic, migration rules, and the pricing hypothesis behind the offer.
Interview notes, win-loss feedback, renewal objections, support themes, buyer language, and the moments when price becomes a blocker.
Competitor pricing pages, alternative tools, procurement norms, price anchors, bundle comparisons, and switching-cost assumptions.
Where it earns its keep
Pricing research is not just choosing a number. It is finding what buyers believe they are paying for, what alternatives anchor the decision, and which evidence is still missing.
Map buyer language, pain intensity, budget context, and willingness to pay evidence into questions your team can validate before price is locked.
Inspect value metric options, tier boundaries, usage limits, and upgrade moments that may confuse or weaken the offer.
Compare buyer alternatives, discount expectations, bundle assumptions, and switching stories before the price page does the selling.
MiroFish turns pricing notes, competitor pricing context, customer evidence, and packaging assumptions into an inspectable map of buyer questions and validation gaps.
Stage 1
Upload source material and define the decision, event, or message you want to test.
Stage 2
Map the people, groups, incentives, constraints, and memory that shape the reaction.
Stage 3
Let the simulated actors respond over multiple rounds so the second-order path appears.
Stage 4
Review the trajectory, risks, weak assumptions, and what evidence would change the conclusion.
What the report should answer
Boundary conditions
Why MiroFish
Generic AI can summarize a pricing memo. MiroFish helps teams inspect the evidence behind the price and decide what must be researched next.
Pricing input
Generic AI
Summarizes proposed tiers
MiroFish
Maps pricing assumptions to buyer evidence and gaps
Buyer view
Generic AI
General willingness to pay advice
MiroFish
Segment-specific value signals, objections, and proof needs
Next action
Generic AI
Broad pricing suggestions
MiroFish
Research questions for interviews, surveys, sales review, or simulation
FAQ
The goal is to improve pricing evidence and research focus before a number turns into a public commitment.
A pricing research tool helps teams organize customer evidence, competitor pricing, packaging assumptions, and willingness to pay signals before choosing or changing a price. MiroFish turns that material into research questions and evidence gaps.
Pricing research focuses on the evidence behind a pricing decision. Pricing simulation AI rehearses how customers, competitors, and sales teams may react after a proposed pricing change is defined.
Upload pricing notes, tier drafts, value metric ideas, interview summaries, sales objections, win-loss notes, competitor pricing pages, packaging research, or customer support themes.
No. MiroFish does not claim to calculate the perfect price. It helps expose weak assumptions, missing evidence, competitor anchors, and research questions that should be validated before setting price.
Founders, product marketers, product managers, RevOps teams, sales leaders, and pricing teams can use it before creating a price page, changing packages, or planning a B2B pricing research sprint.
Related simulation paths
Most decisions do not stay inside one category. These adjacent use cases help teams test the next market, customer, or public reaction path.
Price objections
Analyze why buyers push back on price, where discount pressure starts, and which proof can answer the objection.
Open Pricing Objection AnalysisPrice sensitivity
Inspect segment sensitivity, objection thresholds, discount pressure, and value proof across pricing moves.
Open Price Sensitivity Analysis ToolPricing rollout
Rehearse churn narratives, package migration risk, and pricing objections before rollout.
Open Pricing Simulation AIResearch before rollout
Bring pricing notes, customer evidence, competitor pages, or package ideas. MiroFish will turn them into a pricing research map your team can inspect.
Start pricing research