Feature performance metrics for software as a service offering

Avi Latner, Ricardo Valerdi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper provides a framework to measure the performance of software as a service (SaaS) product features to prioritize development efforts. Firstly, relative value is measured by the impact of each feature on customer acquisition and retention. Secondly, feature value is compared to feature cost and specifically development investment to determine feature profitability. Thirdly, feature sensitivity is measured. Feature sensitivity is defined as the effect a fixed amount of development investment has on value in a given time. Fourthly, features are segmented according to their location relative to the value to cost trend line into most valuable features, outperforming, underperforming and fledglings. Finally, results are analyzed to determine future action. Maintenance and bug fixes are prioritized according to feature value. Product enhancements are prioritized according to sensitivity with special attention to fledglings. Underperforming features are either put on "life-support," terminated or overhauled. This framework is applicable to SaaS companies for the purpose of prioritizing features, an important consideration for concurrent engineering of software systems.

Original languageEnglish (US)
Title of host publicationAdvanced Concurrent Engineering
Pages151-158
Number of pages8
DOIs
StatePublished - 2011
Externally publishedYes
Event18th ISPE International Conference on Concurrent Engineering, CE 2011 - Boston, MA, United States
Duration: Jul 4 2011Jul 8 2011

Other

Other18th ISPE International Conference on Concurrent Engineering, CE 2011
CountryUnited States
CityBoston, MA
Period7/4/117/8/11

Fingerprint

Concurrent engineering
Costs
Profitability
Industry

Keywords

  • Customer value
  • Performance metrics
  • Product development
  • Software as a service

ASJC Scopus subject areas

  • Software

Cite this

Feature performance metrics for software as a service offering. / Latner, Avi; Valerdi, Ricardo.

Advanced Concurrent Engineering. 2011. p. 151-158.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Latner, A & Valerdi, R 2011, Feature performance metrics for software as a service offering. in Advanced Concurrent Engineering. pp. 151-158, 18th ISPE International Conference on Concurrent Engineering, CE 2011, Boston, MA, United States, 7/4/11. https://doi.org/10.1007/978-0-85729-799-0_17
Latner, Avi ; Valerdi, Ricardo. / Feature performance metrics for software as a service offering. Advanced Concurrent Engineering. 2011. pp. 151-158
@inproceedings{50395539fb494e26bbc5614b511c966c,
title = "Feature performance metrics for software as a service offering",
abstract = "This paper provides a framework to measure the performance of software as a service (SaaS) product features to prioritize development efforts. Firstly, relative value is measured by the impact of each feature on customer acquisition and retention. Secondly, feature value is compared to feature cost and specifically development investment to determine feature profitability. Thirdly, feature sensitivity is measured. Feature sensitivity is defined as the effect a fixed amount of development investment has on value in a given time. Fourthly, features are segmented according to their location relative to the value to cost trend line into most valuable features, outperforming, underperforming and fledglings. Finally, results are analyzed to determine future action. Maintenance and bug fixes are prioritized according to feature value. Product enhancements are prioritized according to sensitivity with special attention to fledglings. Underperforming features are either put on {"}life-support,{"} terminated or overhauled. This framework is applicable to SaaS companies for the purpose of prioritizing features, an important consideration for concurrent engineering of software systems.",
keywords = "Customer value, Performance metrics, Product development, Software as a service",
author = "Avi Latner and Ricardo Valerdi",
year = "2011",
doi = "10.1007/978-0-85729-799-0_17",
language = "English (US)",
isbn = "9780857297983",
pages = "151--158",
booktitle = "Advanced Concurrent Engineering",

}

TY - GEN

T1 - Feature performance metrics for software as a service offering

AU - Latner, Avi

AU - Valerdi, Ricardo

PY - 2011

Y1 - 2011

N2 - This paper provides a framework to measure the performance of software as a service (SaaS) product features to prioritize development efforts. Firstly, relative value is measured by the impact of each feature on customer acquisition and retention. Secondly, feature value is compared to feature cost and specifically development investment to determine feature profitability. Thirdly, feature sensitivity is measured. Feature sensitivity is defined as the effect a fixed amount of development investment has on value in a given time. Fourthly, features are segmented according to their location relative to the value to cost trend line into most valuable features, outperforming, underperforming and fledglings. Finally, results are analyzed to determine future action. Maintenance and bug fixes are prioritized according to feature value. Product enhancements are prioritized according to sensitivity with special attention to fledglings. Underperforming features are either put on "life-support," terminated or overhauled. This framework is applicable to SaaS companies for the purpose of prioritizing features, an important consideration for concurrent engineering of software systems.

AB - This paper provides a framework to measure the performance of software as a service (SaaS) product features to prioritize development efforts. Firstly, relative value is measured by the impact of each feature on customer acquisition and retention. Secondly, feature value is compared to feature cost and specifically development investment to determine feature profitability. Thirdly, feature sensitivity is measured. Feature sensitivity is defined as the effect a fixed amount of development investment has on value in a given time. Fourthly, features are segmented according to their location relative to the value to cost trend line into most valuable features, outperforming, underperforming and fledglings. Finally, results are analyzed to determine future action. Maintenance and bug fixes are prioritized according to feature value. Product enhancements are prioritized according to sensitivity with special attention to fledglings. Underperforming features are either put on "life-support," terminated or overhauled. This framework is applicable to SaaS companies for the purpose of prioritizing features, an important consideration for concurrent engineering of software systems.

KW - Customer value

KW - Performance metrics

KW - Product development

KW - Software as a service

UR - http://www.scopus.com/inward/record.url?scp=84870180560&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84870180560&partnerID=8YFLogxK

U2 - 10.1007/978-0-85729-799-0_17

DO - 10.1007/978-0-85729-799-0_17

M3 - Conference contribution

AN - SCOPUS:84870180560

SN - 9780857297983

SP - 151

EP - 158

BT - Advanced Concurrent Engineering

ER -