Playbook
Set My Price
The work this situation takes, including the parts that are easy to miss. Start with any one.
Value-based price from a value buildup
A defensible price anchored to the value you create over the next-best alternative, with the customer-surplus check, capped at the value delivered.
Sales discount-authority matrix
I get a discounting matrix where each role's max discount climbs with seniority, no role can approve beyond the list-price padding, and term-authority is recorded per level so reps must escalate larger asks.
Design a Good-Better-Best SaaS package structure
I get a clean Good-Better-Best tier table where every feature is placed once, each tier targets a distinct segment, and higher tiers strictly contain lower-tier features (monotonic gradation).
Score and rank candidate pricing metrics on the six-criteria rubric
I get a filled scorecard where every candidate metric is rated 1-5 on all six criteria with a weighted total and a clear rank order, so I can pick the key pricing variable defensibly.
Build a validated 3-part-tariff block-pricing schedule
I get a 3-part tariff table where each block's overage price exceeds its inferred per-unit price, blocks tile the volume range without gaps/overlap, and inferred unit rates decline with volume.
Map product features to MECE use-case modules with per-segment value
I get a modular packaging map where features are partitioned into non-overlapping use-case modules, no feature is left unassigned, and each module carries a t-shirt value per segment plus a base/add-on flag.
Design a conjoint analysis attribute/level/profile set
I get a runnable conjoint design: an attribute/level grid that respects the 6-7 attribute ceiling and >=2 levels per attribute, plus choice tasks of valid, non-duplicate profiles built only from those levels.
Build a quarterly pricing-analytics metrics register
I get a quarterly pricing report object carrying all five metrics plus the eight-dimension segmentation, where ASP/median/discount-% recompute correctly from the deal rows I supplied.
Build a multi-dimensional pricing-tier register
The buyer gets a tier table where each tier names its target segment, sets a value on the required pricing dimensions, carries a price, and the prices increase across tiers with at least one dimension changing between adjacent tiers.
Map a price waterfall from list to pocket price and flag leakage
I get a price waterfall that ties my pocket price back to my list price through named, quantified leaks, so I can see exactly where realized revenue is lost.
Design price fences that separate willingness-to-pay segments
I get a set of price fences that keep my higher and lower willingness-to-pay segments in their own tiers, so a low-value buyer cannot cheaply access the high-value price.
Recommend a skim, penetration, or neutral launch-pricing strategy
I get a defensible launch-pricing call (skim, penetration, or neutral) that follows from an explicit read of the decision factors, so the strategy is not a guess.
Draft a price-increase message with a fairness rationale
I get a price-increase message that carries a genuine rationale, fair notice, and a disclosed magnitude, so customers read it as fair rather than opportunistic.
Also part of this playbook, opening soon:
- Choose how to price
- Find my lowest sensible price