Agile intelligence services: metrics, dashboards, forecasts

Making agile projects measurable & predictable

Agile transformation enables companies to enhance flexibility and ability to quick change, adaptability, achieving faster time-to-market and increased customer satisfaction with customer-centric approach.

Efficient metering and early warning systems based on precise AI-predictions are a game changer and ensure that agile transformation journey stays on track towards desirable results and significantly improve the outcome ensuring competitive advantage for product development and providing full transparency on performance, outcomes, efforts allocation, release forecasts, etc on all levels and end-to-end. 

We define actionable metrics, implement them, build and customize reporting solutions and forecasting models to keep agile programs transparent and accurately predictable.

Bottlenecks we solve




Agile Intelligent Services: Key Benefits

Making agile projects measurable

Actionable end-to-end metrics on all process stages, levels, roles making project traction easy

Increased transparency & insights

Transparency & actionable insights on agile initiatives on all levels, teams, strategic topics

Improved agile delivery predictability

Improved predictability of agile delivery by precise data-driven forecasts (AI & ML-based)

Establish 360 degree transparency in agile product development: build an Agile Balanced Scorecard

Requirements
REQUIREMENTS & DEMAND PIPELINE
We assist you in establishing transparency & tracking of scope progress, roadmap and single requirements along exploration, elicitation, refinement, development, QA and deployment. Overview of committed and delivered business value. You benefit from transparency on arrival rates, backlog throughput etc.
Delivery
DEVELOPMENT & DELIVERY
We measure, track and forecast metrics of teams operational performance (velocity, throughput, committed vs. delivered story points, scope working %, etc) to keep development on track and make precise predictions. Stability over time makes product development predictable and allows to detect issues on early stages.
QA/Bugs
QA, TESTING & BUGS
You benefit from early checks of the product by receiving a complete overview on bugs/defects handling per team, capability, feature in operations as well as in QA, defining and applying metrics like resolution rate, defect severity, time, detection rate, test effectiveness & coverage, open/closed rates, etc)
Customer feedback
CUSTOMER VALUE & FEEDBACK
Collection and tracking of one of the most important agile metrics: customer voice metrics like Customer Satisfaction (CSAT), Net promoter score (NPS), at every customer touchpoint to convert feedback into backlog features. Derivation of main customer satisfiers/dissatisfiers and tracking of key facets like product & service quality, improvements & responsiveness, value for money, easy of use etc.

KEY FEATURES

Metrics, reports, dashboards

  • Requirement analysis for agile reporting, process analysis
  • Definition key metrics and measure points of agile development process (process efficiency, flow, output and outcome metrics)
  • End-to-end metrics & KPI taxonomy
  • Creation of actionable reports and dashboards giving insights and real picture of the progress (Jira, MS PowerBI, SAP SAC, tableau, etc)
  • Definition of critical agile reporting areas and audiences / frequencies for consumption

Visualize progress

  • Key metrics insights: sprint burndowns, velocity, throughput, etc 
  • Handling of scope  – sprint velocity vs scope velocity, scope creep early detection
  • Omni-level reporting (teams, ARTs): output, outcome, flow
  • Progress towards next release, identifying teams waste, etc.
  • Visualizing product roadmap (increment/release/sprint/iteration – results or plans
  • Visualizing effort distribution by issue types, CFDs, etc
  • Value delivery (features, value points)
  • Monitoring setup (backlog health-check)

AI-based forecasts on key metrics

  • Develop, train & deploy AI-models for accurate prediction of key metrics enabling of precise forecasts and decision making far in advance 
  • Use AI-predictions and integrate it into agile processes like iteration planning, capacity or resource utilization planning, agile estimations, etc.
  • Build accurate AI-forecasts of scope completion towards next release/iteration date for stakeholder communication
  • Achieving preciser roadmap planning due to combination of forecasts with adopted estimation techinques (T-shirt sizing, story points etc) 

Analytical tool selection & customizing

  • Requirements assessment and reporting tool evaluation 
  • Customizing of reports and dashboards in agile operational tools (jira atlassian, etc)
  • Providing our own best practice report templates on inteltarget.com dashboards platform (from team up to ART and portfolio reportings)
  • Development of tailored dashboards on inteltarget.com or customer platform 
  • Maintenance and ad-hoc reporting customizing (Microsoft Power BI, SAP SAC, tableau, plotly, own developments)
  • Operationalization of reporting & derivation of actions





AGILE INSIGHT AREAS

Discover sample areas which bring you insight & transparency in product development cycle

Velocity
Gate readiness
Progress vs Time
Agile Compass
Forecast (ML)
Capacity planning
Teams velocity / Burn down

- historical velocity charts: how fast teams deliver
- are there any trends/patterns in delivery
- velocity by work types: new features, bugs, maintenance, enablers, etc.
- what is the ratio of work on scope/work on defects, operations/maintenance, waste?
- trends, gauges (current velocity vs. average vs. maximum)
- how many story points, features, bugs are delivered in certain period of time
< Cumulated flow diagram(CFD) and readiness by phase:

- to which % are teams ready for the next stage charts
- cumulated flow diagram (CFD)
- overview of scope completion by status
- status of the features in scope
- what is the number of added/outscoped features in release/increment (spill-overs)
- what is the distribution of my features across workflow stages
Progress vs. time
- visualization of scope progress across agile teams sprint by sprint
- how fast are teams progressing on the increment scope
- which teams are not on track and how far
- which teams perform better / more efficient
- how much scope has been completed vs. how much should have been completed by this time
- what is the progress on features/epics/user stories (sprint by sprint)
- what is the progress on iteration / release scope (sprint by sprint)
Agile compass shows direction:

- progress by every prioritized epic/theme
- which direction has advanced more in the last period
- how much has to be done in each direction
- do teams deliver what they commit, what is their predictability / sprint success ratio (committed vs. delivered)
- what is the progress on iteration / release scope (sprint by sprint)?
ML-based delivery forecasting

- tracking of scope delivery
- forecasting current delivery for every team
- will the scope delivered in time
- which part of scope is on risk to be not delivered
- how much time in addition is needed for scope completion
- multiple forecasting models are trained
- what is the forecast on iteration scope delivery given the average and forecasted velocity
Data driven capacity planning

- automatic capacity forecast (ML-models)
- workload and scope simulations (for story points, capacity, sprints needed, etc.)
- which teams are overloaded with scope and which still have capacity
- how many sprints needed to complete the scope
- what amount of work teams will be capable to deliver in the next iteration?
- what is team capacity for the next sprint/iteration?












APPROACH & SERVICES

Define objectives & metrics

We assist you in initial process analysis, key metrics and KPI  definition, data preparation, clean-up and collection process

Measure, visualize & explore

We build reports & dashboards on various levels, aggregations,  planning horizons (sprints, releases), topic structures etc. 

AI-based predictions & plan

You benefit from using AI-based predictions and their integration into forecasts & planning processes enabling to react far in advance

Enable, support & improve

Stakeholder enablement and adoption, action derivation, support and continuous improvement and adjustments 




frameworks we support

selection of tools & assets we use