BoardSnap is an iOS app that turns whiteboard photos into structured summaries and action plans in ten seconds. For data scientists, that means experiment design sessions, feature engineering discussions, and hypothesis frameworks produce written artifacts, not just a board photo that gets buried in a Slack thread.
Write the hypothesis, the treatment design, and the success metrics on the board. Snap. BoardSnap produces a structured experiment spec, hypothesis, intervention, metric, and decision criteria, ready for your experiment tracking tool.
Sketch the feature transformations, the interaction terms, and the encoding decisions. Snap. The summary captures each feature decision and its rationale, the first draft of your feature documentation.
Map the evaluation metrics, the test dataset strategy, and the baseline comparison on the board. Snap. BoardSnap produces a structured evaluation plan that becomes the methodology section of your model report.
Work through what question we're actually trying to answer, what a good outcome looks like, and what decisions the analysis will enable. Snap. The summary is the project brief everyone can reference, no re-explaining the analysis objective.
Sketch the key findings, the interpretation, and the next steps on the board. Snap. The summary becomes the analysis memo, findings, interpretation, and recommended actions structured and ready to share.
BoardSnap AI reads distribution sketches, decision tree diagrams, feature interaction matrices, and annotated graphs on whiteboards. It produces structured descriptions of the analytical content, not just a list of words.
Paste your team's internal wiki, your metric dictionary, or your modeling framework documentation. BoardSnap AI learns your metric names, your experiment terminology, and your analytical vocabulary, summaries reference your actual work.
Pin your research questions, your north-star metric definition, or your current experiment log. Every board session chat already knows the analytical context, ask follow-up questions that get grounded answers.
Keep recommendation system experiments separate from fraud model development and pricing analysis. Each project has isolated board history and context, the AI chat gives answers scoped to the right analytical domain.
High-level experiment tasks break into concrete implementation steps: write the data pipeline, implement the feature transformations, set up the evaluation harness, run the baseline comparison.
Yes. BoardSnap AI reads decision tree structures, probability diagrams, and annotated statistical frameworks. It produces a written description of the decision logic and the key analytical choices, useful for documenting methodology before coding it up.
Run your experiment design session at the whiteboard, hypothesis, treatment, metrics, success criteria. Snap. BoardSnap produces a structured experiment brief that serves as the source for your experiment tracking system entry. It's the 'design doc' you'd otherwise write from memory afterward.
Yes, snap the feature engineering session, the evaluation framework discussion, and the model architecture board separately. Each produces a structured artifact. Combine them to build the model card instead of writing it from scratch after training.
Yes. Snap the board at the end of a data science + product + engineering whiteboard session. Everyone gets the same structured written summary, the shared understanding is documented at the source before anyone re-interprets it.
BoardSnap AI reads mathematical notation on whiteboards reasonably well, variable names, equations, and statistical notation. Dense mathematical derivations produce more limited output than conceptual diagrams with annotations, but mixed boards (concept + equation) work well.
ML engineers using BoardSnap for model architecture and training pipeline sessions.
Data engineers capturing pipeline architecture and schema design sessions.
PMs aligning with data science on experiment goals and analysis decisions.
How to structure a research synthesis session for clean BoardSnap output.
Snap a whiteboard. Ship the action plan. In ten seconds.