Most CRO teams stitch together eight to twelve disconnected tools: hypothesis tracking in Notion, stats in Excel, reporting in PowerPoint. Sledder replaces the entire stack with a single pipeline where every experiment feeds the next.
Let AI scan your site and competitors to surface high-impact CRO opportunities — backed by evidence, not instinct. Capture, enrich, and align your team on the best ideas before a single line of code is written.
Learn more→Lens deploys an AI agent that browses your pages, spots friction, and surfaces prioritized test ideas — with evidence citations and impact scores.
Organize ideas on a shared canvas. Vote, comment, assign to initiatives, and track every idea from draft to experiment-ready.
Each idea comes with a structured hypothesis, supporting evidence from your Lens research, and an expected impact score.
Turn any whiteboard idea into a fully structured experiment in seconds. Sledder's AI reads your hypothesis, research notes, and page context — then generates everything: name, description, variants, KPIs, and success criteria. You review. You ship.
Learn more→Sledder auto-fills every field from your hypothesis and Lens evidence — control, variant, KPIs, and success criteria.
Description, hypothesis, pages, and attachments flow directly into the experiment form.
AI fills the form. You decide what stays — adjust, regenerate, or ship as-is.
See your entire experimentation pipeline at a glance — what's live, what's next, what's concluded. Switch between a Gantt timeline, Kanban board, or table view. Assign owners, track statuses, and never lose sight of a test again.
Learn more→Visualize every experiment on a Gantt chart with 4 zoom levels — week to year. Group by market, page, or status.
Switch instantly between Timeline, Kanban, and Table views on the same data. Drag-and-drop across statuses.
Live and completed tests in separate tabs so you never mix in-flight experiments with concluded ones.
Upload your data and Sledder handles the rest: model selection, outlier detection, SRM checks, and corrections. Choose Bayesian or Frequentist. Get a clear recommendation in seconds, not hours.
Learn more→Beta-Binomial, Normal-Inverse-Gamma, or Mann-Whitney. Sledder picks the model that fits your metric type and data shape.
Bayesian priors fitted from past results. The more you test, the faster you reach reliable conclusions.
Actionable recommendations backed by P(B > A), Expected Loss, and HDI 95%. Readable by your whole team.
One click. A complete analysis narrative, a slide deck, and an AI assistant ready to answer any question about your results. Sledder turns statistical output into stakeholder-ready communication in the time it usually takes to format a table.
Learn more→The AI writes the full analysis story: hypothesis, segments, and behavioral insights included.
Export a branded PDF presentation with KPI deep-dives and recommendations in seconds.
Chat with an AI assistant that knows your data, metrics, and statistical output.
Sledder closes the loop. Every concluded experiment generates structured learnings, AI-suggested follow-ups, and a new node in your Optimization Graph.
Learn more→Visualize every idea, experiment, and iteration as a connected knowledge tree.
Four experiment-ready next steps after every analysis. One click to start the cycle again.
Empirical Bayes priors get tighter as you run more experiments. Faster conclusions over time.
Join the teams who ship winning experiments with Sledder.
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