MHRM 6601 · Week 7

MHRM 6601 Week 7 incentive design example

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An incentive tells people what the organization will pay for, and they usually believe it more literally than its designers intended. The Week 7 design in MHRM 6601 builds a quarterly team incentive for branch staff at a credit union assembled for the course, tests it against Vroom's expectancy theory and line of sight, and then predicts, measure by measure, what conduct it will draw out.

What this page holds

A branch team incentive, tested against expectancy theory and line of sight and then checked for the conduct it invites, anchors the Week 7 incentive design sample for MHRM 6601. Searches like "mhrm 6601 week 7 assignment example", "mhrm6601 week 7 sample" and "mhrm 6601 week 7 example" land here.

What a finished MHRM 6601 Week 7 incentive design looks like

It runs five pages. The plan sits in a box on page one: a quarterly payout to each branch team, funded at an illustrative $120,000 a year at target and capped at $200,000, earned on two measures, closed loans from staff referrals and a member-experience score from post-visit surveys, with a gate that withholds payment from any branch carrying a substantiated complaint about pressured sales. A design section explains each choice through Vroom's three links: whether staff believe effort can move the measure, whether hitting it reliably pays, and whether the payout is worth having. Line of sight gets its own section, explaining why net income was rejected as a measure. The prediction section follows, listing for each measure the behavior it will reward, the gaming it invites and the control set against it.

How a MHRM 6601 Week 7 example is structured

The plan is stated whole before it is justified, letting the reader keep the entire design in view while each part is defended. Justification follows Vroom's order, because the three links fail in different ways: a target nobody believes is reachable kills effort at the first link, a payout that depends on management discretion breaks the second, and a sum too small to notice fails the third. Line of sight comes next and explains the measures chosen by what a teller can influence on an ordinary day. The prediction section is the paper's center of gravity, taking each measure and asking what a rational employee would do to move it, including the unwanted things. Controls are paired with those predictions one to one. Cost appears in the plan box and again at the end, at target and at maximum, since the budget holder needs both figures.

The plan in one box

Two measures, a quarterly team payout, a compliance gate and a funding level at target and cap, all illustrative. Everything later in the paper defends or tests something in that box.

Vroom's three links

Can effort move the measure, will hitting it pay, and is the payout worth having? The design answers each for branch staff, and lowers a referral target where the first answer looked doubtful.

What a teller can see

Net income was rejected because no one at a branch can move it on an ordinary day. Referrals and member experience sit within reach, and that reach is what line of sight means.

Predicted conduct, measure by measure

Referral counts may pull in marginal loans; survey scores may tempt staff to coach members before the survey arrives. Each prediction is stated plainly, with a control paired to it.

Cost at target and at cap

The plan's price is shown twice, at expected payout and at maximum, so the budget holder knows the ceiling as well as the likely figure.

Where marks go in MHRM 6601 Week 7

Prediction is where this week's credit concentrates, and a design describing its intended effects without asking what else it will reward has skipped the assignment's central question. Each measure is expected to carry a named risk and a matched control, and predictions specific enough to be wrong score best. Expectancy theory earns its share when the three links are applied to this workforce and change something in the design; a paragraph defining expectancy, instrumentality and valence before moving on collects little. Line of sight is credited for explaining a rejected measure as well as the chosen ones. Both cost figures, expected and maximum, are checked for arithmetic. The compliance gate is valued as design judgment. Plans that pay on a measure staff cannot influence, or that cannot say what they cost at maximum, lose ground steadily.

Get a MHRM 6601 Week 7 example written to your instructions

Share the incentive design prompt and rubric, and name the group your section wants the plan to cover, when that is someone other than branch staff. A plan box, the expectancy analysis and a measure-by-measure prediction of behavior come back within 24 to 48 hours; nothing is owed on a first request. Funding levels are fictional, as is the lender.

MHRM 6601 Week 7 questions, answered

What is Vroom's expectancy theory?

Victor Vroom's account of motivation holds that effort depends on three beliefs: that effort will produce performance, that performance will bring a reward, and that the reward is worth having. If any one is weak, motivation drops. The sample applies each link to branch staff and adjusts the design where one looked fragile, for example lowering a referral target nobody believed was reachable.

What does line of sight mean in incentive design?

Whether the people being paid can see how their own daily work moves the measure. A teller can affect referrals and the service a member receives; a teller cannot meaningfully move the credit union's net income. Measures within line of sight tend to motivate, while distant ones feel like lottery tickets. The sample explains its measure choices in exactly those terms.

Why predict gaming in a design paper?

Because people respond to what an incentive pays for, not to what its designers hoped. A design that has not asked how its measures could be moved the wrong way tends to discover the answer after launch. The sample lists the likeliest forms of gaming for each measure and pairs a control with each, which is what a realistic plan looks like on the page.