| No. Even bad estimates are better than no estimates. If you are having meltdowns your reputation is being tied too closely to your ability to give estimates. You must never turn estimates into a promise, always remind people they are estimates. Want to give fast estimates? Here’s how: 1) first determine the scale of the task? Is it a year, month, week or day kind of task? 2) Then, it’s just 3 of those units. The smallest task takes 3 days. One day to completely fuck up, one day to figure out why, one day to get right. The longest takes 3 years. One year to fuck it all up, one year to learn why, one year to finish it. I suggest never giving estimates in units smaller than a day. They just become noise. If a task is smaller than dayscale just say the task is too small to provide any meaningful estimate but won’t take more than a day. |
No estimate is clearly better. Here's a common story I've seen across multiple companies.
1. Marketing management asks Engineering management how long it takes to do feature X so they know when to launch the online ad campaign.
2. Engineering management then asks potentially good coder how long it will take. Coder replies with a time and "it's just an estimate."
3. Engineering management reports to Marketing that coder's estimate leaving off the most important caveat, and Marketing treats that as the gospel truth.
4. Coder takes longer than expected because of some bad technical cruft that some other engineer put in because he was potentially rushed or just plain inept.
5. Marketing is pissed because they now have to withdraw the ad campaign, and starts blaming engineering.
6. Under increased scrutiny, Engineering gets a bad reputation, who then throws the coder under the bus in front of Marketing and other managers.
7. This shows up on the coder's annual review who then leaves.
8. Engineering hires replacement which will have a 3-6 month learning cycle, and potentially writes worse code than the person that just left.
EDIT: The point is that if there's no estimate, management has to deal with the uncertainty that the coder experiences. Hope for the best, plan for the worst.