Score · Assess & Decide · Analysis & Finance
Candidate pricing metrics ranked 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.
You receive: A JSON object {model:'consumption'|'capability', candidates:[{metric, scores:{valueTie, clientFit, measurable, predictable, costScaling, dealEconomics}, weightedTotal, rank}], weights:{...}}.
Part of Set My Price
Example
A sample of what this play produces. Your result is generated for your inputs.
- Model
- consumption
Candidates
- Metric
- credits consumed
- Scores
- Value Tie
- 5
- Client Fit
- 4
- Measurable
- 5
- Predictable
- 3
- Cost Scaling
- 5
- Deal Economics
- 4
- Weighted Total
- 4.35
- Rank
- 1
- Metric
- plays run
- Scores
- Value Tie
- 4
- Client Fit
- 5
- Measurable
- 5
- Predictable
- 3
- Cost Scaling
- 4
- Deal Economics
- 3
- Weighted Total
- 4.05
- Rank
- 2
- Metric
- seats
- Scores
- Value Tie
- 2
- Client Fit
- 3
- Measurable
- 5
- Predictable
- 5
- Cost Scaling
- 2
- Deal Economics
- 3
- Weighted Total
- 3.25
- Rank
- 4
- Metric
- active workspaces
- Scores
- Value Tie
- 3
- Client Fit
- 3
- Measurable
- 4
- Predictable
- 4
- Cost Scaling
- 3
- Deal Economics
- 3
- Weighted Total
- 3.3
- Rank
- 3
Weights
- Value Tie
- 0.2
- Client Fit
- 0.2
- Measurable
- 0.15
- Predictable
- 0.15
- Cost Scaling
- 0.15
- Deal Economics
- 0.15
Opens soon
Cost50 credits
ProtectionSpent when the run starts · returned only if STUD is at fault
STUD opens runs for everyone soon, on every play at once.
Get early access to STUD the day it goes live.