Perspective: The Stage‐Gate<sup>®</sup> Idea‐to‐Launch Process—Update, What's New, and NexGen Systems<sup>*</sup>
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
- Candidate categories
- Meta-epidemiology (narrow)
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Not applicableConsensus signal: none
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.702
- Threshold uncertainty score
- 1.000
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
- Teacher spread
- 0.244 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Stage‐Gate has become a popular system for driving new products to market, and the benefits of using such a robust idea‐to‐launch system have been well documented. However, there are many misconceptions and challenges in using Stage‐Gate. First, Stage‐Gate is briefly outlined, noting how the system should work and the structure of both stages and gates. Next, some of the misconceptions about Stage‐Gate—it is not a linear process, nor is it a rigid system—are debunked, and explanations of what Stage‐Gate is and is not are provided. The challenges faced in employing Stage‐Gate are identified, including governance issues, overbureaucratizing the process, and misapplying cost‐cutting systems such as Six Sigma and Lean Manufacturing to product innovation. Solutions are offered, including better governance methods such as “gates with teeth,” clearly defined gatekeepers, and gatekeeper rules of engagement, as well as ways to deal with bureaucracy, including leaner gates. Next‐generation versions of Stage‐Gate are introduced, notably a scalable system (to handle many different types and sizes of projects), as well as even more flexible and adaptable versions of Stage‐Gate achieved via spiral development and simultaneous execution. Additionally, Stage‐Gate now incorporates better decision‐making practices including scorecards, success criteria, self‐managed gates, electronic and virtual gates, and integration with portfolio management. Improved accountability and continuous improvement are now built into Stage‐Gate via a rigorous postlaunch review. Finally, progressive companies are reinventing Stage‐Gate for use with “open innovation,” whereas others are applying the principles of value stream analysis to yield a leaner version of Stage‐Gate.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Journal of Product Innovation Management
- Topic
- Technology Assessment and Management
- Field
- Engineering
- Canadian institutions
- McMaster University
- Funders
- not available
- Keywords
- Computer scienceSix SigmaProcess (computing)Corporate governancePortfolioProcess managementBusinessEngineeringOperations managementLean manufacturingEconomicsManagement
- Has abstract in OpenAlex
- yes