Tracking Research Projects

Research is not linear. You are running experiments, reading papers, writing up results, and iterating on methodology -- often across multiple projects simultaneously. One morning you are debugging a data pipeline, the afternoon you are reviewing a colleague's draft, and by evening you are sketching out a new hypothesis based on surprising results from last week.

Generic task management tools do not capture this. They assume work flows in one direction: to-do, doing, done. But research loops back on itself. An experiment fails and sends you back to the literature. A paper review sparks a new analysis. A methodology change invalidates earlier results. You need a tool that handles the nonlinear, documentation-heavy nature of research work without forcing it into a software sprint framework.

Each experiment or analysis gets a task card in ContextSwitch with detailed notes: the hypothesis, the methodology, the data sources, the expected outcomes. Use the kanban columns to track stages -- Ideation, Running, Analysis, Written Up. As experiments progress, move them across the board. When an experiment fails or needs to be rerun with different parameters, the card history preserves what you tried and why.

This is lighter than a full experiment tracking platform but more structured than a folder of notebooks. Each card is a self-contained record of what you planned, what you did, and what happened. When you need to write the methods section of a paper, the information is already organized.

The project diary is your lab notebook. Date-stamped entries documenting methodology changes, surprising results, dead ends, and insights. "Switched from random forest to gradient boosting after RF showed overfitting on the validation set. GBM with early stopping at 200 rounds gives 3% better holdout accuracy." Or "The correlation between X and Y disappears when controlling for Z. This invalidates the hypothesis from last month. Need to rethink the causal model."

These entries are timestamped, searchable, and private. Unlike a shared lab notebook or a wiki that colleagues might edit, this is your record of your thinking. The unfiltered version where you note hunches, frustrations, and half-formed ideas that are not ready for a formal write-up but are essential for future you to understand how you got here.

Dissertation work, a side analysis for a collaborator, paper reviews, teaching prep -- each gets its own database file with its own kanban board and diary. The boards stay isolated so your dissertation tasks do not blur with your teaching obligations. But the unified timeline shows all deadlines across every project: the conference submission on Friday, the exam you need to grade by Monday, the collaborator waiting on your analysis by next Wednesday.

For researchers juggling multiple responsibilities, this cross-project visibility is critical. You can plan your week knowing exactly what is due across every commitment, then dive into a specific project's board when you need to focus.

ContextSwitch ships with a built-in MCP server, so Claude Code can read your diary and task boards directly. Ask "Summarize my methodology changes this month" and Claude pulls every relevant diary entry across your databases. Ask "What experiments am I blocked on?" and Claude reviews your cards to find tasks stuck in the Running or Analysis columns with notes about blockers.

This is especially powerful for writing. When you are drafting a paper and need to recall why you made a particular methodological choice three months ago, Claude can search your diary and surface the exact entry. Your private research log becomes a queryable knowledge base.

Both Notion and Obsidian are note-taking tools adapted for project management. They are excellent at capturing and organizing text, but project management is an afterthought -- bolted-on kanban views over what is fundamentally a document database. ContextSwitch is the opposite: project management with a built-in diary. The kanban board gives you structure and workflow. The diary gives you narrative and context. And the MCP server means your AI assistant has full access to both, turning your local task data into something you can query, summarize, and act on without switching tools.

Get ContextSwitch on the Mac App Store