Bimodal Detector in Chrome with OffiDocs

DESCRIPTION

Background In a typical planning poker, i.

e.

for software development (to typically estimate the complexity of a ticket), estimates may differ between estimators.

When do we need to discuss the different estimates, when don't we? One approach ist to detect multi-modality of the estimation distribution.

Example A team estimates using typical scrum fibonacci numbers [0, 1, 2, 3, 5, 8, 13, 20, 40, 100].

And let's say, we have the following estimates after the first round: [1, 5, 5, 8, 3, 5].

Is this worth a discussion? I.

e.

is it uni- or multi-modal? The distribution (abundance) of the estimated fibonacci numbers looks like this: [0, 1, 0, 1, 3, 1, 0, 0, 0, 0].

This contains 2 local extrema which corresponds to a bi-modality.

Discussion is worth between the two people having estimated a 1 and an 8, the lowest and the highest estimates.

Features I distinguish two cases: * Uni-modal distribution: I mark the median with a green background.

* Multi-modal distribution: I colorize the peaks of the distribution (those values which are most abundant) with a light red background color and extrema to discuss with a darker right background.

What is currently supported? I currently support plannings at https://www.

planitpoker.

com with the default scrum fibonacci numbers as mentioned above in the example.

Version 1.2020.0330.2333: - Adjusted the logic and tested thoroughly Version 1.0 - Bugy version where the logic is broken

Additional Information:

- Offered by daniel.frey
- Average rating : 0 stars (hated it)
- Developer This email address is being protected from spambots. You need JavaScript enabled to view it.

Bimodal Detector web extension integrated with the OffiDocs Chromium online