PHIXI
Voluntary lesson evaluation · Lesson 1

Read · solve · revise · return

Connect a project to a measurable business outcome.

Try one lesson at your real pace. Save what you did and how long it actually took. Your feedback helps Matthew improve the teaching and its duration estimates.

This is one free, voluntary evaluation.

It awards no hours or certificate and promises no later credit. You do not need to finish the full course. There is no minimum number of minutes: stop when you have completed the work.

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Six simple steps

  1. Read the notice below.Adults aged 18 or older only. If you are under 18, do not participate. Adults studying outside Ohio or Virginia, USA should contact Matthew before starting or sharing work.
  2. Record your own actual consent.Download the blank response and complete Part A. Use a participant code, your study state/country, brief prior study background, actual consent date/time and timezone. Consent and setup time are not study time.
  3. Record actual timing, then read and work.Use the four segment labels below. Note start, stop, timezone and breaks in Part B. Stop timing when you stop; do not aim for a target or deliberately repeat work to add time.
  4. Save your first draft before opening feedback.Read the concepts and clinic example, then complete the library case and independent contrasting scenario. Keep the first draft intact in Part D.
  5. Open the feedback and save your revision.Complete Part E, explaining a correction or a reasoned decision to keep your original answer. Note what was confusing or missing in Part F.
  6. Return it privately to Matthew.Email the file to matt@phixi.ai, or contact Matthew for another private handoff. Use only the fictional data and requested minimal consent facts.

Four timing labels

  1. Concepts L01-study
  2. Clinic worked example L01-worked
  3. Independent library-case work L01-application
  4. Corrective feedback and revision L01-feedback

Record each uninterrupted start/end interval with its actual date and timezone. For a pause, add a new row when you resume, or record break minutes within one interval. Do not exclude the same break twice. Exclude notice/consent, setup, sending study-administration email, unrelated activity, idle breaks and optional practice. Include legitimate rereading for understanding, required project-management communications, feedback and revision. Do not deliberately repeat work to add time or count one completion twice. Your log is evidence to review, not an automatic award of credit.

Read before agreeing

Lesson 1 evaluation notice: L01-eval-v2-2026-10-24
Prepared October 24, 2026, America/New_York.

Phixi LLC, a Delaware company operated by Matthew Howard from Ohio, is evaluating this structured project-management lesson. Contact matt@phixi.ai. The activity is free and voluntary, separate from live course enrollment, and may be paused, declined or ended without a fee or loss of an existing course right. It awards no hours or certificate, promises no future credit and does not determine PMP eligibility. Only PMI awards PMP.

Matthew needs a participant code, adulthood confirmation, state/country where you study, brief relevant study background, your actual voluntary response/date/notice version, real intervals, completed fictional-case work and review notes. Do not send a birth date, identity document, diagnosis, employer/client material or other confidential information. The identifying consent-to-code mapping is stored separately from the work. This handoff is prepared for adults studying in Ohio or Virginia, USA. If you are under 18, do not participate. Adults studying elsewhere should contact Matthew before starting or sharing work.

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If you freely agree, record this in your own response before study, with actual date/time/timezone:

“I have read the Lesson 1 evaluation notice L01-eval-v2-2026-10-24. I am at least 18, understand the described voluntary evaluation and data use, and agree to participate. I understand this activity awards no hours or certificate and does not promise later credit. I can stop or withdraw without a fee.”

Silence or no reply is not consent. Questions are welcome before agreeing. This notice itself records no person's consent, study or hours.

Segment 1 · Concepts

Start with a decision.

Learning objectives: distinguish a delivered output from an achieved outcome; compare alternatives and expose the assumptions behind a business case.

Output, outcome and benefit

A project creates a bounded change. The continuing service that uses the result is an operation. A completed booking website is an output; fewer missed appointments is an outcome. A benefit is the value the organization gains from that outcome. Before selecting a solution, identify the people affected, the current baseline, the desired change, a measure, a benefit owner and the date on which that owner will evaluate it. A deadline or executive request explains urgency but does not establish value.

Compare choices under uncertainty

Include doing nothing and a smaller experiment among the alternatives. Compare total implementation and operating costs, expected benefits, risks, strategic fit and constraints. Do not present an unsupported estimate as a fact. A useful business case names the assumption that would reverse the recommendation and a cheap way to test it. Cash estimates must share a time horizon; a one-year cost cannot fairly be compared with five-year savings. Sustainability and accessibility effects can be relevant value even when they are not easily priced.

Keep ownership after delivery

The sponsor owns the investment decision within the organization's governance. Project staff provide evidence and make authorized recommendations. Operations may own the eventual benefit. Identify these responsibilities before handover. Review value when market demand, regulation or cost changes. Finishing an obsolete scope perfectly can still waste money. Stopping or narrowing work after an authorized review may protect more value than insisting on the original plan.

In Part C: explain output, outcome and benefit in your own words, then write a decision rule you would use before approving a full rollout.

Segment 2 · Worked example

A clinic's reminder pilot

Fictional Lakeside Clinic has 1,000 appointments each month and a 12% missed-appointment rate. A reminder pilot costs $8,000; a full portal costs $50,000. Each avoided missed appointment is estimated to contribute $30. No causal evidence is available yet.

  1. The baseline is 120 missed appointments per month.
  2. A reduction to 8% is a hypothesis: it would mean 40 additional attended appointments.
  3. Estimated monthly contribution is 40 × $30 = $1,200, before operating costs.
  4. A small pilot with an operations owner and a comparison method provides evidence before approval of the full portal.

The $1,200 is conditional expected value, not verified savings. Measure attended appointments and unintended effects, not just messages sent. The benefit owner must check the result after the technical project closes.

In Part C: explain why $1,200/month is a hypothesis, and name one assumption that could change the decision.

Segment 3 · Independent applied work

Your case: library pickups

Use the following fictional data. Leave facts not supplied as unknown; do not invent costs or actual savings.

Weekly pickups
400
Handling time
4 staff minutes each
Trial cost
$2,000
Full setup
$12,000
Full support
$200 per month
Estimated adoption
20%; plausible range 5%–35%
Staff capacity value
$25 per hour
Staffing
Levels will not automatically change

Worksheet assumption: each adopted redirected pickup would avoid all four handling minutes. This is a conditional modeling assumption to test in practice, not a measured reduction or verified savings.

Build your first draft

  1. Create rows for no change, trial and full rollout. For adoption of 5%, 20% and 35%, calculate shifted pickups, weekly minutes/hours released and weekly capacity value. Keep assumptions and time units visible.
  2. Explain why capacity value is not guaranteed payroll savings. Identify a useful operational activity that could use released capacity in this fictional case.
  3. Write a trial hypothesis. Name an outcome measure, baseline, benefit owner, review date and stop rule. Include one guardrail for user access and one for service reliability.
  4. Before opening feedback: adoption after the trial is 30%, but support calls increase by 70%. The sponsor asks to report only adoption. Independently record your proposed action, affected decision, expected result and the evidence that would disprove your choice.

Your blank response provides this template for each option: one-time cost · ongoing cost · assumed adoption · weekly time released · intended use of capacity · benefit owner · evidence/stop rule.

Save Part D now.

Keep this first draft and independent scenario response intact. Record the actual save time before opening the feedback below. This is one assignment; reading its brief is not a separate second piece of credited work.

Segment 4 · Corrective feedback

Compare, explain and revise.

I have saved my independent first draft. Show the feedback.

At 5%, 20% and 35% adoption, shifted pickups are 20, 80 and 140. Weekly staff time potentially released is 80, 320 and 560 minutes. At $25/hour, the capacity values are about $33.33, $133.33 and $233.33 weekly. That capacity is not necessarily payroll savings.

No change has no implementation cost but retains current problems. The trial buys evidence; it does not automatically produce full-rollout benefit. A benefit owner could use released time for reader support and measure whether that happens. A stop rule might hold expansion if successful pickup or accessible retrieval is worse than the current service under the agreed test.

A defensible recommendation tests adoption and whether staff can use the released time. A weak one claims certain savings or ignores support cost. Revise your recommendation if only 5% adoption is observed. State what evidence would make each option preferable.

For the contrasting scenario, report both outcome and guardrail evidence. Investigate support burden and the total service effect before expansion. An adaptive backlog can prioritize the barrier; a predictive change record can revise rollout scope. Neither route justifies omitting adverse evidence.

Save Part E without overwriting Part D

Compare your recommendation with the reference. Revise any certainty claim, explain at least one correction or a reasoned decision to retain the original, and state the strongest evidence that would make you choose a different option.

  1. Arithmetic uses correct units and all three adoption assumptions.
  2. Capacity value is distinguished from cash savings.
  3. The trial has an accountable owner, outcome measure and guardrails.
  4. The revised recommendation addresses the adverse support result.

Rate each criterion demonstrated, partly demonstrated or missing, citing your work. Revise missing or partial evidence. Explain one decision in your own words and one circumstance that would change it. Do not count the same comparison or revision twice. This self-review supports learning; it is not independent expert approval.

Optional practice check · ungraded and outside the timing log

A team has deployed a new portal, but the outcome measure has not improved. What should the project manager recommend?

  1. Declare benefit realization because the portal is live.
  2. Work with the benefit owner to investigate adoption and outcome assumptions.
  3. Rewrite the baseline to match the result.
  4. Count the number of features as financial savings.
Show practice feedback

Delivery proves an output. Investigating adoption and assumptions with the accountable benefit owner addresses the missing outcome. Changing the baseline hides evidence.

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Keep your consent, real timing, first draft, revision and brief lesson feedback in your own downloaded response. Mark completed, partly completed or stopped truthfully. Include where you paused, needed help or found confusing, repetitive or inaccessible material.

Email the file to matt@phixi.ai with subject Lesson 1 evaluation — your participant code, or contact Matthew for another private handoff. Use nonconfidential fictional-case work only. Do not post a filled response, consent or identifying details publicly or in an AI chat. Matthew separates the identifying consent record from the work when storing it.

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PHIXI - LESSON 1 VOLUNTARY EVALUATION RESPONSE
Lesson: L01 - Connect a project to a measurable business outcome
Notice version: L01-eval-v2-2026-10-24

Use your own local copy. Do not enter responses on a public website or in an AI chat.
Use fictional case data only. No employer/client/confidential personal information.
There is no required minimum time. Stop when you have completed the work.

PART A - ACTUAL CONSENT (do this before study; do not pre-fill another person's consent)
Participant code (choose a label that does not identify an employer/client):
State/country where I will study:
Prior project-management study/experience (beginner / some / experienced; brief detail):
Consent date and time:
Timezone or UTC offset:

If you freely agree, copy this statement in your own response:
"I have read the Lesson 1 evaluation notice L01-eval-v2-2026-10-24. I am at least
18, understand the described voluntary evaluation and data use, and agree to
participate. I understand this activity awards no hours or certificate and does
not promise later credit. I can stop or withdraw without a fee."

My actual voluntary response:

Matthew will keep the identifying consent-to-code record separate from the work.
Adults aged 18 or older only. If under 18, do not participate. Prepared for adults
studying in Ohio or Virginia, USA. Adults studying elsewhere should contact
matt@phixi.ai before starting or sharing work.

PART B - ACTUAL TIMING
Exclude notice/consent, setup, study-administration email and optional practice.
Include genuine study, reasoning, required PM communication, rereading and revision.
For study/work, record actual date/time, timezone and excluded breaks.
If you stop and restart, add a new row for the same segment. If you instead leave
one interval open, record break minutes. Do not exclude the same break twice.
Do not leave a timer running, repeat work to add time or aim for a target duration.

Segment | Start date/time | End date/time | Timezone/UTC offset | Break minutes | Status/notes
Concepts |                 |               |                     |               |
Worked example |           |               |                     |               |
Independent library-case work |            |               |                     |               |
Feedback and revision |     |               |                     |               |
Additional interval (name segment) |        |               |                     |               |
Additional interval (name segment) |        |               |                     |               |

PART C - CONCEPTS AND WORKED EXAMPLE
In your own words, what is the difference between an output, an outcome and a benefit?

Write one decision rule you would use before approving a full project rollout:

For the clinic worked example, explain why $1,200/month is a hypothesis rather
than verified savings, and name one assumption that could change the decision:

PART D - FIRST DRAFT (save this before opening the corrective feedback)
Fictional library data: 400 pickups/week; 4 staff minutes/pickup; $25/hour staff
capacity value. Trial costs $2,000. Full setup costs $12,000 plus $200/month
support. Adoption is estimated at 20%, with a 5%-35% plausible range. Staffing
does not automatically change. Other costs/benefits not supplied are unknown.
For this worksheet, assume each adopted redirected pickup would avoid all four
staff handling minutes. This is a conditional modeling assumption to test in
practice, not a measured reduction or verified savings.

1. Complete rows for no change, trial and full rollout. For adoption of 5%, 20%
and 35%, calculate shifted pickups, weekly minutes/hours released and weekly
capacity value. Keep assumptions and time units visible; do not invent costs.

Option | One-time cost | Ongoing cost | Adoption assumption | Weekly time released | Intended use of capacity | Benefit owner | Evidence/stop rule
No change |
Trial |
Full rollout |

My calculations at all three adoption levels:

2. Why is capacity value not guaranteed payroll savings? What useful operational
activity could use the released capacity in this fictional case?

3. My trial hypothesis, outcome measure, baseline, benefit owner, review date
and stop rule, with one access guardrail and one service-reliability guardrail:

4. Independent contrasting-scenario response BEFORE feedback:
Adoption is 30%, but support calls increase by 70%. The sponsor asks to report
only adoption. Record your proposed action, affected decision, expected result
and evidence that would disprove your choice.

First draft saved before viewing feedback? Record the actual status, not a default:
First-draft saved date/time/timezone:

PART E - AFTER FEEDBACK (keep Part D intact)
My corrected/revised recommendation:

At least one change I made, with the reason (or a justified reason no correction
was needed), and the strongest evidence that would change my choice:

How would I revise the recommendation if adoption were only 5%?

My own rubric check: demonstrated / partly demonstrated / missing, with evidence:
1. Arithmetic has correct units and all three adoption assumptions:
2. Capacity value is distinguished from cash savings:
3. Trial has an accountable owner, outcome measure and guardrails:
4. Revised recommendation addresses the adverse support result:

PART F - FEEDBACK ON THE LESSON
What was confusing, too easy, repetitive or missing?

Where did you pause, reread, need outside help or encounter an accessibility issue?
Include genuine rereading for understanding, required feedback and revision.
Do not deliberately repeat work to add time or count one completion twice.

Optional practice answer/feedback (ungraded and excluded from instruction timing):

Completion status: completed / partly completed / stopped (record actual status):

RETURN PRIVATELY
Save this response with your participant code. Email it to matt@phixi.ai with
subject "Lesson 1 evaluation - [your participant code]", or ask Matthew for
another private handoff. Email is not end-to-end encrypted by default; include
only the requested minimal consent facts and nonconfidential fictional-case work.
Do not post responses or filled consent publicly. Silence or no reply is not consent.
Matthew separates the consent mapping from work when storing it.

This activity alone creates no credited hours or completion certificate.

About this draft

Lesson L01 is from Phixi's authored draft curriculum, version 0.1.0-draft-2026-10-24. Explanations, fictional cases, exercises, feedback and practice were prepared for Phixi with AI assistance. They are not actual PMP exam questions, a human expert review or PMI-approved materials.

PMI ECO task references: ECO-II-03 and ECO-III-08, used as factual topic references. PMP and PMI are marks of Project Management Institute, Inc. Phixi claims no affiliation, Authorized Training Partner status or endorsement.

Conceptual reference: Project Management, Merrie Barron and Andrew R. Barron, collection col11120, CNX source, CC BY 4.0. No source story, table, image, caption, question or substantial passage is reproduced. The fictional examples and explanatory wording are original to the draft. No Packt bank, course PDF, EPUB, exam dumps or NotebookLM output was used to author this lesson or its feedback. Local Montserrat font files are provided under the SIL Open Font License.