Name the job and current workaround
Describe what the buyer is trying to accomplish and what they use to handle it today.
SAAS JOBS MAPPER
Map the job, desired outcome, and current workaround for your target SaaS buyer, and get a calculated switching-likelihood score.
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Complete every field. The result updates only when you choose Calculate.
Describe what the buyer is trying to accomplish and what they use to handle it today.
How often the job occurs and how embedded the current approach is both shape the switching-likelihood score.
The score combines workaround pain, frequency, and inverse switching cost into a 0–100 opportunity read.
Continue learning: Which assumptions should your MVP validate first? · Activation as a product-market-fit signal
A buyer using a painful manual process is easier to win than one embedded in a competitor's tool with years of data and integrations, even if the underlying job is identical.
Data migration, team habits, and existing integrations all raise switching cost. A high score here works against you even if the job is frequent and painful.
The frequency and switching-cost weighting is tuned for recurring-purchase SaaS products, where habit and lock-in matter more than for one-time purchases.
| Feature | MVPHub | Strategyzer | ChatGPT |
|---|---|---|---|
| SaaS-specific switching-likelihood score | Included | Not included | Not included |
| Structured job-mapping prompts | Included | Included | Limited |
| Collaborative workspace | Not included | Included | Not included |
| Free-form open-ended brainstorming | Not included | Not included | Included |
Strategyzer offers a general JTBD framework and collaborative canvas, and ChatGPT can brainstorm jobs from a free-form prompt. MVPHub calculates a specific SaaS switching-likelihood score from structured inputs.
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