Experiments
Reduce product risk with ShorterLoop’s built-in experimentation tools. Design hypotheses, test features, and validate ideas with real data to ensure you build what users actually need.
Make customers an integral part of your product journey
Map out a profile for your ideal target user that your entire company can use to plan, build, and serve better.
No credit card required. Full access to all product discovery features for 14 days.
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Unlock Data-Driven Decisions with Product Experimentation
ShorterLoop’s experimentation tools empower product teams to test hypotheses, validate features, and mitigate risks with real user data. Streamline A/B testing, prioritize high-impact ideas, and accelerate product innovation—all within a unified platform.
Build confidence, reduce uncertainty, and ship what users truly need.
Build, Test, and Validate Ideas with Structured Experimentation
Design experiments for ideas before or after they ship. Define scope, track risk, and capture results in the same platform where you plan features and manage delivery.
Build hypotheses, set validation goals, track risks, reuse templates, and retain documentation—all in one unified space. Ship what works, learn fast, and reduce uncertainty.
Streamline Experimentation with a Visual Kanban Board
The Experiments Kanban Board in Shorter Loop provides a structured, visual workflow to manage your product hypotheses from ideation to validation.
Visual Workflow Management: Move experiment cards through stages like Idea, Design, Testing, and Done for clear progress tracking.
Hypothesis Building: Use built-in templates to formulate structured if/then hypotheses and define validation criteria.
Risk & Assumption Tracking: Flag and monitor the riskiest assumptions to focus testing efforts.
Results Logging: Capture outcomes, metrics, and learnings directly on experiment cards for future reference.
Integration with Backlog: Seamlessly convert validated experiments into actionable user stories or features.
Validate and Optimize Your Persona Insights with Experiments
Use Shorter Loop to test your persona assumptions through targeted experiments. Gather real-world feedback and data to refine your understanding of users, ensuring your product decisions are accurate and effective.
Test Assumptions: Validate persona traits and behaviors with structured experiments.
Data-Backed Decisions: Use real feedback to refine user profiles and product strategies.
Reduce Guesswork: Replace assumptions with evidence to better meet user needs.
Turn hypotheses into insights—and build products that truly resonate.
Hypotheses at All Levels of Product Development
Define and test hypotheses across your entire product lifecycle—from discovery to delivery.
With ShorterLoop, you can structure assumptions, set measurable success criteria, andvalidate ideas systematically.
Frequently Asked Questions
What is a product hypothesis and how do I structure one in ShorterLoop?
A product hypothesis is a testable prediction about a user's behavior or a product change. In ShorterLoop, we recommend using a clear "If action, then outcome, because reasoning" format. This structure helps ensure your experiments are focused and measurable. You can define this directly in the hypothesis field of any experiment card.
How do I define success criteria and metrics for my experiment?
Success criteria are specific, quantifiable metrics that prove or disprove your hypothesis. Use the "Success Criteria" field to define key performance indicators (KPIs) like conversion rate or engagement time. Link these to your analytics dashboard for real-time tracking.
Can I track the riskiest assumptions behind my hypothesis?
Yes. List and prioritize key assumptions in the experiment canvas. Tag them by risk level (e.g., high/medium/low) to design tests that validate critical unknowns first, reducing product risk.
How does the Experiments Kanban board help manage tests?
The Kanban board provides a visual workflow (e.g., Todo → Inprogress → Review → Done) to track experiments. It gives teams visibility into active tests, results, and future priorities.
What should I do after an experiment concludes?
Document results and decide next steps. Mark hypotheses as Validated or Invalidated, log learnings, and convert successful experiments into user stories for development.
How do I define an experiment's hypothesis and success criteria?
A good experiment starts with a clear hypothesis and measurable success criteria.
To set these up:
Open the Experiment: From the Kanban or list view, click on an experiment card to open its detail panel.
Define the Hypothesis: In the "Hypothesis" field, write a clear, testable statement about what you believe to be true.
Set Success Criteria: In the "Success Criteria" field, define the specific, measurable outcomes that will prove or disprove your hypothesis (e.g., "Achieve a 15% click-through rate on the new button"). Refer.
Validate Ideas with Confidence
Test assumptions before investing. Experiments in Shorter Loop let you validate product ideas quickly with real data, helping you reduce risk and build what users actually want.
No credit card required. Full access to all product discovery features for 14 days.
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