SAAS JOBS MAPPER

SaaS Jobs-to-Be-Done Mapper

Map the job, desired outcome, and current workaround for your target SaaS buyer, and get a calculated switching-likelihood score.

  • Uses your inputs in a transparent calculation
  • Instant result with practical next steps
  • No signup required

Planning guidance only. Validate important decisions with customer evidence and your delivery team.

How it works

1

Name the job and current workaround

Describe what the buyer is trying to accomplish and what they use to handle it today.

2

Rate frequency and switching cost

How often the job occurs and how embedded the current approach is both shape the switching-likelihood score.

3

Get a switching-likelihood verdict

The score combines workaround pain, frequency, and inverse switching cost into a 0–100 opportunity read.

Frequently asked questions

Why does the current workaround matter so much?

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.

What counts as high switching cost?

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.

Is this specific to SaaS, or does it work for any product?

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.

How We Compare

Feature MVPHub StrategyzerChatGPT
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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