A pilot should answer
a real question.
Here is how we propose to evaluate an operational improvement before anyone calls it a success. This is our approach, not a report of a completed customer engagement.
Explore the scorecardStart with a decision, not a demonstration.
A useful pilot begins when a partner can articulate a specific, consequential workflow that needs improvement. It should identify a process owner, affected users, permitted data, baseline, constraints, success criteria, and an agreed exit decision.
A pilot is not proof merely because a feature was demonstrated. It becomes useful when observed evidence changes what the partner knows about its next decision.
- Which workflow is in scope, and what must stay outside it?
- Who can act, approve, access data and stop the experiment?
- What would we measure if the new system performs worse?
- Who makes the go, revise or stop decision?
A simple scorecard.
No imaginary numbers.
This is a proposed evaluation framework only. Measures must be tailored and baselines observed with each participating organization.
| Dimension | Baseline to observe | Evidence during pilot | Decision question |
|---|---|---|---|
| Workflow time | Duration of a defined process or handoff | Comparable task timings and exceptions | Did the process improve without shifting work elsewhere? |
| Information quality | Missing context and correction frequency | Completeness checks and review notes | Are decisions better supported and traceable? |
| People and adoption | Actual current usage and workarounds | Feedback from participating roles | Does the workflow help the people doing the work? |
| Governance | Current permissions and approval controls | Access tests, review outcomes and exception logs | Did we preserve authority, privacy and accountability? |
Make the evidence inspectable.
A credible case study requires more than a selected success metric. Reviewers should be able to distinguish the starting point, changes in scope, data-quality limitations, external influences, and unfavorable results.
Like with like
Document the baseline period and a comparable pilot measurement period.
Preserve context
Record interruptions, selection effects, incomplete data and other plausible influences.
Check with people
Have the responsible partner owner and product reviewers challenge the conclusions.
Keep options open
Explicitly allow continuation, re-scoping or stopping based on the evidence.
A real customer story needs real permission.
Publication is a separate decision from a successful pilot. Before naming a customer or sharing numerical results, we require documented authorization, evidence review and a privacy-safe final draft. Without those steps, no customer case study is published.
- Customer identity and reference rights are explicitly approved.
- Every published quantitative result is tied to evidence, definitions and dates.
- Quotes, screenshots and identifiable data have separate consent where necessary.
- Limitations, caveats and the context of the result remain visible.
- Company legal, product and partner reviewers approve the final text.
The underlying evidence belongs in controlled internal records, not in the public website repository.
Return to Proof & outcomesBuild evidence into
the work from day one.
Interested in exploring a measured pilot with Pythagorean Technologies LLC?