How to use the Opportunity scoring template

Start a board from it
Use this template opens a new Freero board with the Opportunity scoring template on it (sign up free first). On a board you already have, open Templates in the toolbar and search for “Opportunity scoring”.
Follow the instruction on the board
“Score importance and satisfaction from 1 to 10 using survey answers. Opportunity = importance + (importance − satisfaction). Above 12 is worth a look.”
Fill in each part
- Table Columns: Customer outcome · Importance · Satisfaction · Opportunity · Read
- How to score Ask customers, don’t guess.
Bring your team and your agents
Invite people to the board or share a link, and work on it together live. The timer is in the top bar, private mode and voting in the board menu, and Claude or ChatGPT can join through Freero’s MCP server.

Work on it with an AI agent

Connect an assistant once and it works on the board with you, with your permissions: by default it reads and proposes, and people decide.

You ask: “Fill in the Opportunity scoring board from these notes.”
What happens It reads the board, then proposes sticky notes for it. Nothing changes until someone on the board accepts them.
You ask: “Group what we wrote into themes and list the actions.”
What happens It proposes clusters with a title each and task cards for the actions, labelled with its name and yours.

Opportunity solution tree
One outcome, the customer opportunities behind it, solutions for each and the experiments to test them.
Customer problem ranking
Rank the problems customers bring up by how many have them, how much they hurt and how well we could solve them.
Assumption map
Sort what you believe about an idea by how much it matters and how much evidence you have, then test the risky ones first.
RICE scoring
Score ideas by reach, impact, confidence and effort, so the backlog order has reasons.
A/B test readout
Share the result of a finished A/B test: what changed, what happened to the main and guardrail metrics, and what you decide.
Cohort retention review
Read a cohort table together: how many customers from each sign-up month are still active later, and what explains the differences.