Delivering @ Warp Speed

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This document discusses how to deliver a production-ready system in 2 weeks with one consultant. It recommends conducting full scope analysis on day 1, having first and third demos by days 3 and 7, and going live on day 10 after a final demo and testing. It provides tips for leveraging existing components, focusing work, continuous communication, and testing. Examples are given of past successful 10-day projects involving integrations and various application types that were delivered bug-free.

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Delivering @ Warp Speed How can you deliver a production ready system in 2 weeks with one consultant?

Delivering @ Warp Speed Communication & KnowledgeTransfer

Delivering @ Warp Speed Day 5Second Demo!Alphain QA with ECT.Usersgohands-on. Day 1FULL scopeanalysis.SetExpectations.Plan Demos.Create Data Model.StartCoding. Day 3First Demo!It’stime for refactoring. Prep. WorkCustomerspecs.LeveragePreAnalysis.Clearbusinessunderstanding. Day 9Final Demo.Test, Fix, Tuneonly! Day 10GoLive.Saveatleast ½ day for PostProductionTuning. Day 7Third Demo!Define roll-outplan.

Delivering @ Warp Speed Infrastructure Architecture User Interface Team Quality Speed

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Client gets hands-on using Alpha & ECT - No loose ends – you can’t tune it later!

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Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency. During the hour, we’ll take you through: Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board. Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes. Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI. We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI. This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!

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Delivering @ Warp Speed

1. Delivering @ Warp Speed How can you deliver a production ready system in 2 weeks with one consultant?

2. Delivering @ Warp Speed

3. Delivering @ Warp Speed Communication & KnowledgeTransfer

5. Delivering @ Warp Speed Day 5Second Demo!Alphain QA with ECT.Usersgohands-on. Day 1FULL scopeanalysis.SetExpectations.Plan Demos.Create Data Model.StartCoding. Day 3First Demo!It’stime for refactoring. Prep. WorkCustomerspecs.LeveragePreAnalysis.Clearbusinessunderstanding. Day 9Final Demo.Test, Fix, Tuneonly! Day 10GoLive.Saveatleast ½ day for PostProductionTuning. Day 7Third Demo!Define roll-outplan.

7. Delivering @ Warp Speed Tips & Tricks

8. Delivering @ Warp Speed Infrastructure Architecture User Interface Team Quality Speed

10. Reset QA/PROD beforeGoLive.Delivering @ Warp Speed

11.

12.

13. Leave out nice-to-have’s

14.

15.

16. Colleagues

17.

18.

19. Client gets hands-on using Alpha & ECT - No loose ends – you can’t tune it later!

20. Delivering @ Warp Speed Don’t!

21.

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23. Delivering @ Warp Speed Facts & Metrics

24. Delivering @ Warp Speed Integrations - SalesForce.com - XML HTTP APIs - JSON HTTP APIs TypesofApplications - Sales Pipeline Management - Workflow (with BPT!) - SF.comreplacementproject - DealCoupon Broker BUG FREE! Metrics - 25 Screens (avg.) - 25K software Units (avg.) - 15 Entities (avg.)

25. Delivering @ Warp Speed Thankyou! André Madeiraandre.madeira@outsystems.com

Editor's Notes

In a recentpastoutsystemshasaddressedanumberofcustomersandprojectswith a one-man-armyapproachlauchingliveappsinonlytwoweeks.Inmostofthecustomerstime to marketwasthe top driver for choosingthetechnologyandofcoursetheapproach.
I believethereis a recipe.Ingredients: CommitedCustomerthatreallyneedsthesystemliveintwoweeksandiswilling to adoptthemethodologyandhelpbuildingthesystem.MultiSkilledconsultant 3 RolesEM to talkwiththecustomerunderstandthebusinessrequirementsDM to mapthereqsin a systemHi Performance Developerthatcanproduce a fairamoutofqualitycode a shorperiod – don’tbefooledHulkisactuallyverysmart…hejusthas a temperament. Agile PlatformAndthereis a secretsauce – thatmaketheingredientsworknicelytogether.
The secret sauce for the success of this project approach can actually be divided in 3 aspects 1 - CommunicationThere is no noise in the communication because ( The “OutSystems head” – all 3 roles in one person) there is no knowledge transfer - gather requirements, map them into a system, how to code that system is all inside one head - “In-demo-negotiation” – scope; size; commit; set expectations and have customerapproval ALLduring the demo;
2 - LeanSollutionMapping – understanwhatcustomerwants; design appropriatly ; stop 1 and 23 - ExpectationManagement – makethecustomerunderstandthatheonlyneedstheropewithandthe tire – stop 3 andarrow
Daughter’s LEGO Explainwhatgoesonduringthe 10 days:Prep. WorkCustomerspecs.LeveragePreAnalysis.Clearbusinessunderstanding.Day 1FULL scopeanalysis.SetExpectations.Plan Demos.Create Data Model.StartCoding.Day 3First Demo!It’stime for refactoring.Day 5Second Demo!Alphain QA with ECT.Usersgohands-on.Day 7Third Demo!Define roll-outplan.Day 9Final Demo.Test, Fix, Tuneonly!Day 10GoLive.Saveatleast ½ day for PostProductionTuning.
Trust vs timeExpectation vs timeDelivery vs timeFor each micro sprint – always set the expectations bellow of what you can really deliver.
Amazon – fastinfrastructuredeployments – no customer IT dependency2 envs – onelessstepinstaging (QA isprod)
Mostoftheseappshad 1 espace – 2 topsCreatebusinesslogicwhenandwhereneeded – itwillpay-offlater – fullscopeunderstanding.Don’tgiveuponbasicbestpractices – namingconv; modularization;
- Thebuiltinstyleguidewillhelpyou moer thanever - StyleGuidesupportsmostrecent browsers butit’snotbadifweagreewithcustomerthattheappwillbebuilt for 1 browser only! - FancyWidgets – javascipt, cssweallknowit’s alotofworksostick to reliableandtestedwidgets.
Intelliwarpwillhelpyou moer thanever – eventifyouhave to changeandbuildon top ofit.GetReliablecodefrompreviousprojects!!!
- consultantneeds to befullyallocated
Whenyoubuild a featuredon’tmakeit 50% hopingyouwillhavetime to improve. Builditsimple BUT builditalltheway.
Do notgo for lessthan 10 days for newprojects
Allsystemshadfollow-up

Delivering @ Warp Speed

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Editor's Notes