The product gets more complicated
Features accumulate without a clear purpose. Customers have more to understand and engineering inherits more to maintain.
Product strategy
Go from a business objective to the solution worth building.
In Shorter Loop, a strategy is a set of linked objects: an objective, the opportunities that could move it, the solutions proposed for each opportunity, and the experiments that test them. Sage drafts opportunities and solution ideas from your customer feedback and research. The team reviews them and makes the decisions. The example below follows one team through a churn objective.
The example This page uses an anonymized example from a real customer use case you can open and inspect. The figures used on this page come from that workspace.
For months, the team had treated onboarding as the cause of churn without evidence.
Challenge yourself
You ship, but nothing important moves
Your team delivers regularly. Roadmap items are completed. Releases go out. But customer problems remain, retention does not improve, or the business metric the work was supposed to affect barely moves.
This usually means the team has become a feature factory - good at producing output but not at creating impact.
A proven way to structure the decision
Start with the outcome. Find the customer opportunities. Test solutions before you build them.
An Opportunity Solution Tree gives teams a structure for doing this. It connects the outcome the team wants to change to customer opportunities, possible solutions, and the experiments used to test the assumptions behind them.
Teams risk spending months building full features only to discover after launch that they didn't move our target metrics—resulting in product bloat, wasted budget, and missed goals.
An Opportunity Solution Tree flips this: it maps our business outcome to real user problems first, lets us compare multiple solutions side-by-side, and uses small 2-day experiments to test risky assumptions before we write a single line of production code.
It turns feature gambling into predictable, data-backed execution.
What changes when the team starts with outcomes and opportunities
Instead of treating a feature request as the starting point, the team works backward from the outcome it wants to change, investigates customer opportunities, considers multiple solutions, and tests important assumptions before committing to delivery.
Output-led planning
Opportunity-led discovery
Commit to single solutions early based on opinion or executive requests.
Compare multiple solutions for each opportunity side-by-side.
Build full features for weeks to test if users want them.
Test underlying assumptions in days using quick experiments.
Siloed discovery where research lives in unread slide decks.
Live visual map connecting user research directly to sprint tickets.
Ship outputs and hope metrics change later.
Drive outcomes by iterating until the target metric moves.
Reasoning lives across meetings and documents
Make the reasoning explicit and inspectable
How Shorter Loop helps
Turn this way of working into everyday practice
Shorter Loop supports outcome-led product management and helps you carry the reasoning further. It connects objectives, opportunities, solutions, experiments, delivery work, and outcomes in one place, with evidence and assumptions that inform them.
01
Objective
The result you want to achieve
02
Opportunity
Customer problems or needs drawn from evidence. Solving these customer problems potentially lead to the desired result.
03
Solutions
Multiple options, each with assumptions, that will potentially solve the customer problems identified in the previous step
04
Experimenta
Tests to run on assumptions inherent in the solutions to identify whether those assumptions are true. Tests help you identify the most effective solution.
05
Delivery
Turn the selected solution into reality by delivering incremental and iterative slices of value. Each increment helps you learn more about your assumptions and customer preferences.
06
Outcomes & learning
Did your solution work? What did we learn about our assumptions and customer preferences?
Real anonymized example
Here's how this played out in a real product decision
The story below is anonymized, but real. The individual parts matter less than how they work together. Here is one customer example from the first business objective through opportunity discovery, prioritization, experiments, solution selection, and the roadmap.
Customer story Solveo · one planning cycle
From three board objectives to a roadmap you can defend.
In January the board handed Solvio three objectives. By the end of February the team had a strategy, a roadmap, and a written answer on which of the board's own assumptions held up. Every step happened in Shorter Loop.
| Company | Customers | ARR | Planning window |
| B2B customer-support platform | 214 | $4.45M | 7 weeks |
STEP 01
The board set three objectives
STEP 02
Bring in what the team already has
Nobody re-typed anything. Sage read each source, broke it into claims, and linked every claim to the evidence behind it.
STEP 03
Opportunities surface for each objective
Each opportunity came back with its evidence trail and a state. The strongest had five independent kinds of evidence behind it.
STEP 04
Rank opportunities by spread, intensity and value
Every opportunity gets a score from three things: how many customers have the problem, how much it hurts them, and how much revenue sits behind it. Value came straight from the accounts: each feedback item carries the revenue of the customer who sent it, so a complaint from a 400-agent team counts for more than one from a trial.
STEP 05
Generate solutions and score them
Sage proposed solutions for the top opportunity and the team added one of its own. The Confidence column in RICE is set by the evidence state.
Lowering the threshold scored high because it costs a week. That is exactly why it got tested first.
Auto-send by complexity
Lower the threshold to reach 45%
ROI by category and complexity
Confident hand-off to agents
Per-ticket auto-send log
STEP 06
Run the experiments that decide
Each experiment had its success bar written down before it started. When the readouts were uploaded, Sage rechecked the claims they touched and the solution cards changed state on their own.
STEP 07
The strategy that went back to the board
The reasoning was already there when the board asked for it.
The VP of Product could show the objective, the original assumption, the evidence that changed it, the alternatives considered, the experiment, the work that shipped and the metric that moved — without rebuilding the story in a presentation.
Get Started
Start with one objective you are already working on.
Bring the evidence you already have. Shorter Loop helps you connect it to the objective, distinguish evidence from assumptions, and see what needs to be tested next.
This page uses an anonymized customer example. You can open the demo to inspect the example used throughout the page.