Internally, Buffett didn't fund projects because they were exciting. He funded them because they cleared a 15% return threshold. Projects that couldn't get there didn't get capital. That discipline meant available resources went to high-value work.

Your backlog problem is the same. Measure the value and cost of every item, then allocate your team's capacity to the ones with the highest value-to-cost ratio. Kill or postpone the rest.

The Core Principle (5/12)

Buffett's framework comes down to one idea. When resources are limited, measure the value and cost of every option. Put your resources into the options with the best ratio.

Your backlog works the same way. Measure the value and cost of each item. Prioritize the ones where value far outweighs cost. That measurement removes guesswork and politics from prioritization.

Four Steps to Apply Value Investing to Your Backlog

1. Define What Value Means for Your Product (6/12)

Set up a one-hour session with your product manager and both feature team leads. Agree on three measurable criteria. For a language learning app, these might be revenue impact, user reach, and retention impact. All rated on a five-point scale. The session takes one hour and produces alignment on every future prioritization decision.

2. Score Every Backlog Item on Value and Cost (7/12)

Score every item using a two-dimensional matrix. Add up the three value criteria for a maximum score of 15. Score cost in story points on an inverted one-to-five scale, where low effort gets a high score. Scoring all 230 items takes about four hours. When it's done, the picture is clear: items at the top of your backlog may be low value, while items buried at the bottom may be high value.

3. Sort by Value-to-Cost Ratio and Kill the Bottom 30% (8/12)

Sort your backlog by value-to-cost ratio. The bottom 30% of 230 items is 69 items. Review each one and ask: will we ever build this? Archive the ones you won't build. Move them to a visible archive list that is not the active backlog. The backlog drops from 230 to around 188 items. Twenty-seven items get postponed to a watch list reviewed quarterly.

4. Rebalance the Backlog After Every Development Cycle (9/12)

After every cycle, spend one hour reviewing the backlog with fresh data. Has any analytics data changed an item's value score? Has any developer feedback changed an item's cost score? Are there new items to add from user surveys or support tickets? Use real data to keep the backlog aligned with current reality.

The Takeaway (10/12)