“I just need to read faster” is rarely the actual problem. In practice, literature reviews stall for a small number of specific, identifiable reasons — and each one has a distinct fix, unlike the vague advice to “manage your time better.”
You’re reading before you’re screening
Reading a paper closely to decide whether it’s relevant is far slower than screening a title and abstract to make that same decision, then reading closely only what survives screening. If you’re opening full PDFs to decide relevance, you’re doing the most expensive step of the process far too early — for far too many sources.
You don’t have selection criteria yet
Without explicit criteria for what counts as central, contextual, or out of scope, every source requires a fresh judgment call, and fresh judgment calls are what actually consume time — not reading itself. Write your inclusion and exclusion criteria down before you screen the next batch, even informally; a decision made once and reused is faster than the same decision re-litigated per source.
You’re synthesizing while still searching
Trying to write a coherent synthesis while your source set is still actively growing means rewriting the same sections repeatedly as new material arrives. Separate the phases deliberately: finish a defined search pass, screen it completely, and only then begin drafting synthesis for that batch.
You’re re-reading for information you didn’t capture the first time
If you’re returning to papers you’ve already read to find a detail you know you saw once, the fix is capturing structured notes on first read — population, method, key finding, limitation — rather than trusting memory across a review that may span weeks or months.
The actual fix
Separate screening from close reading, decide selection criteria before you need them, and don’t draft synthesis until a search pass is genuinely finished. None of this requires reading faster — it requires doing each stage once, in the right order.
Make one decision at a time
A simple screening table—title, abstract decision, inclusion reason, population, method, and next action—prevents repeated re-reading and makes a pause in the work recoverable. The table view in the Deep workflow is designed for that early pass, but the efficiency comes from applying explicit criteria consistently, not from the table itself.