People Analytics IO Insight Development Service
We complete time-boxed analysis sprints to get value from data quickly, in one or more area of important focus, before any long term investments are made in technology infrastructure. Examples of core areas of focus are the problems of talent attraction, activation and attrition. Other possibilities include analysis of specific process, problems or policies in areas of: performance, talent acquisition, total rewards, learning & development, talent management, diversity & inclusion, employee wellness, organization design or leadership. More details on the how below:
1 discovery meeting(s)
Everything has a beginning. PA's discovery process is designed to distill real but vague concepts and ideas, like “our strategy is to have the best people” or “we need to change our culture” into implementable visions. The problem is that what those concepts mean different things to different people and require distillation into measurements before they can be managed. At the end of the day PA designs measurements and analysis that facilitate management of fuzzy ideas related to people. We collect and analyze data to make them less fuzzy. This starts in discovery meetings with representative stakeholders identified together at the outset of the project.
In this phase PA will meet with stakeholders to develop a specific area of study. For one to two days, the PA Discovery Team will meet with key stakeholders to discuss and document perceived problems and solutions. We will develop a problem model, with testable theories around which to form an analysis with clear guidelines for success or failure. This phase will include discussion of current corporate objectives, people objectives, relevant business issues, corresponding research objectives, data sources, data collection devices, and other topics that may be required to form a coherent design for analysis.
Collaboratively, the team will complete following tasks:
Define and question the main problems, opportunities and objectives until they have settled.
Define measures - including related antecedents, behaviors & consequences - to establish a conceptual model for impact of change on the company and individuals.
Identify key feedback partners, audience and focus for the problem validation, solution validation and at scale solutions.
Establish a plan to evaluate the riskiest assumptions in the solution theory. Establish a plan to obtain baselines, benchmarks, other supporting information and analysis to achieve clear insight, predictions and recommendations.
Establish a plan to implement and test changes until they have debugged and de-risked for scale.
Establish a plan to identify people, process, and system requirements to apply solution continuously at scale.
Evaluate if the detailed proposal & plan will meet the stated objectives and have value commensurate with the cost of the project before proceeding.
2 discovery report
After conducting Discovery, PA will produce and deliver a proposal in the form of the Discovery Report (within two weeks).
Acting as a blueprint and technical guide, the Discovery Report will identify the prioritized objectives, objective measures, solution features, value, budget and timeline for the initial phase of the solution. The full list of information contained in the Discovery Report is as follows:
Problem (storyline and problem features)
Baseline measures & benchmarks (if applicable)
Estimate of probable value of change
Proposed solution (storyline and prioritized solution features)
Proposed development roadmap & timeline
Proposed system architecture
Proposed process and people supports
3 Kick off your project
Once the Discovery Report has been delivered, PA team is ready for you to kickoff your project or to handoff to yourself or other partners (at your direction).
In lieu of a traditional contract that may last through the entirety of the project, PA engages its clients based on Agile Project Management and the concept of Sprints.
A Sprint lasts 10 working days or 2 weeks. At the beginning of each Sprint, the tasks are identified between PA project lead and the client. After a Sprint, the completed work is presented and a new set of tasks is identified. The pricing for each Sprint can be customized by the required resources for the tasks. A successful agile project engagement is built on a spirit of collaboration, positive can do attitudes, absolute transparency and real partnership between PA and client to continually iterative the solution during the process of the engagement.
Under this method of working together, clients can quickly validate the value our inputs to the project so we can make critical adjustments as we go.
A typical sprint is ~$20,000.
4 Perform alpha data management, data analysis & data delivery
PA will perform analysis and report findings. PA will obtain all data that will be used including extracting data from systems, any necessary surveys, plus any agreed upon third party data that may be appended to the client provided data. PA will apply techniques to extract, transform, load data into our statistical tools and software. We will then apply various techniques of scientific and statistical analysis combined with our understanding of psychology, sociology, labor economics and operations research to make final determinations about the study.
The lead PA consultant may, with your permission, consult with our company partners in a given area of inquiry to understand or further examine the data and our preliminary findings. All partners, employees and advisors of PA are guided under terms of a confidentiality agreement.
PA will provide an informal presentation and seek input on our preliminary findings prior to providing a written report complete with appropriate descriptions of our process and findings.
If the recommendations of our study represent a non-trivial change to an organization, it is often necessary to develop consensus within the organization for a proposed change. This step can help with achieving buy in and can be a factor for ultimate project success.
Examples of ways we can support you include:
Support in executive sessions to explain the results and implications of our work.
Assist in the rollout of findings to a broader audience .
Facilitate an anonymous stakeholder/employee comment period before implementation of any proposed strategy, system, process or policy changes.
Speak at company events to share the steps, logic, reasoning and results of our engagement.
Assist in implementation of recommendations from analysis - particularly if those are technical changes to systems or processes.
5 design permanent data delivery systems
If the prototype proves to have long-term value to you PA can design a permanent data workflow and visual output, which colloquially are described as a “dashboard.”
Depending on your situation and needs the dashboard may be designed in any existing data environments you have, designed using open-source code libraries like D3, or designed using off the shelf data visualization software like Tableau. The dashboard / data application can be hosted externally by PA or your company.
Applications chosen by the client that client or PA do not currently have an existing IT support model in place for can deter progress and increase costs of the project. For this reason, our first preference is to use IT infrastructure that either you or we have a support model in place for when at all possible.
The exact circumstances of any additional fees will be discussed with you and fully described in statement of work prior to project start. Depending on your circumstance and needs additional fees may be necessary for:
ETL (Extract, Transform, and Load) costs
Data cleanup costs
6 obtain feedback and capture collective learning
During the project PA will maintain an environment of open dialogue and candid feedback with the client, however at the end of the project we will make a deliberate effort to review the learning from the project - both good and bad .
What did we learn? Did we meet the projects definition of success? Should additional work be considered? How did the findings play out in expected or unexpected ways? How should PA or client change processes, if at all? What follow-up steps can be taken to advance client people analytics capability?
Examples of ways we can support you include:
Create a business case for change.
Measure if a change has its actual intended effect.
Search for any unintended consequences.
Perform random sample one-on-one interviews.
People Analytics io Design Principles
find a pure intent
Intent is the launchpad and important governing constraint for the imagination. We strip away fuss, frills and complexity until the idea is pure and magnetic. Then we build from there.
We believe you should always know why you do what you do.
root it in science
The creativity, invention and imagination of the decision-support tools we build are rooted in science, deep expertise and intellectual rigor and backed by data, anything less would just be smoke and mirrors.
We believe the origin of new learning and insight is science.
create new possibilities
We create tools that give people new ways of being in the world. We unlock potential in organizations by seeking out and building on unexplored intersections and connections.
We believe creativity, invention and imagination stem from unexplored intersections.
fill it with life
We want everything we create to express life and enhance the experiences of the living, from the broad brushstrokes to the smallest detail. Our work is inspired by the experience of life - in all their luster and imperfections.
We believe the product of our labor should have a heartbeat, be made with passion, and should engage emotion.
craft human interactions artfully
We aspire to help our clients create experiences that are seamless, beautiful, magical and delightful.
We believe everything we do - from a single human interaction, to an interactive tool for thousands of employees or for hundreds of thousands of candidates - should be crafted with pride and attention to detail.
change the game
We turn stuff upside down, ask the scary questions, and shift the lens through which we look, to find a glimpse of the future. Because it’s not about just making cools stuff… It’s about changing the world.
We dare to be revolutionary for the sake of creating great.
More details here: People Analytics IO Mission, Values, Principles
Let’s build something amazing together