MSc: Unit-economics For IT startups - Revision history

R.sirgalina at 09:06, 29 August 2022

2022-08-29T09:06:11Z

R.sirgalina: /* Topics covered in this section */

2022-07-13T07:27:04Z

Topics covered in this section

← Older revision		Revision as of 07:27, 13 July 2022
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	==== Topics covered in this section ====		==== Topics covered in this section ====

−	===== Data-driven hypotheses =====
	*Behavioral cohorts;		*Behavioral cohorts;
	*DAU/MAU, stickyness;		*DAU/MAU, stickyness;
	*North star metric - how to work with it?		*North star metric - how to work with it?
−	===== Forecasting and budgeting =====
	*Forecasting;		*Forecasting;
	*Budgeting;		*Budgeting;

R.sirgalina: /* Course Sections */

2022-07-13T07:25:59Z

Course Sections

← Older revision		Revision as of 07:25, 13 July 2022
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	\|align="center"\| 10		\|align="center"\| 10
	\|}		\|}
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	</div>		</div>
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	* ROI/ROMI;		* ROI/ROMI;
	* Cohorts and cohorts analysis;		* Cohorts and cohorts analysis;
−
−

	==== What forms of evaluation were used to test students’ performance in this section? ====		==== What forms of evaluation were used to test students’ performance in this section? ====
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	#ROI/ROMI;		#ROI/ROMI;
	#Cohorts and cohorts analysis;		#Cohorts and cohorts analysis;
−

	==== Typical questions for seminar classes (labs) within this section ====		==== Typical questions for seminar classes (labs) within this section ====

R.sirgalina: /* Course characteristics */

2022-07-13T07:25:21Z

Course characteristics

← Older revision		Revision as of 07:25, 13 July 2022
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	* Metrics collection automation tools		* Metrics collection automation tools
	* Product’s backlog planning		* Product’s backlog planning
−

	=== What is the purpose of this course? ===		=== What is the purpose of this course? ===
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	*Tools for collecting and analyzing product metrics and indicators;		*Tools for collecting and analyzing product metrics and indicators;
	*Decision making methods based on the analysis of a product metrics and indicators;		*Decision making methods based on the analysis of a product metrics and indicators;
−

	==== What should a student be able to understand at the end of the course? ====		==== What should a student be able to understand at the end of the course? ====
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	*Ability to specify key and secondary indicators for the business and work with them in dynamics;		*Ability to specify key and secondary indicators for the business and work with them in dynamics;
	*Ability to make metric-based decisions;		*Ability to make metric-based decisions;
−

	==== What should a student be able to apply at the end of the course? ====		==== What should a student be able to apply at the end of the course? ====
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	*Identifying business bottlenecks based on key product metrics;		*Identifying business bottlenecks based on key product metrics;
	*Presenting the results of business research;		*Presenting the results of business research;
−

	=== Course evaluation ===		=== Course evaluation ===

R.sirgalina: /* Course Sections */

2022-07-13T07:23:36Z

Course Sections

← Older revision		Revision as of 07:23, 13 July 2022
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	=== Section 1 ===		=== Section 1 ===

−	==== Section title: ~~Metrics, unit economics, cohort analysis~~ ====	+	==== Section title: ====
		+	Metrics, unit economics, cohort analysis
−

	==== Topics covered in this section ====		==== Topics covered in this section ====
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	=== Section 2 ===		=== Section 2 ===

−	==== Section title: ~~Metrics collection automation tools~~ ====	+	==== Section title: ====
		+	Metrics collection automation tools
−

	==== Topics covered in this section ====		==== Topics covered in this section ====
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	*Automatic services for collecting product metrics (online analytics tools Google and Yandex)		*Automatic services for collecting product metrics (online analytics tools Google and Yandex)
	*Manual data collection techniques (Python, Google dashboards, power BI/Tableau)		*Manual data collection techniques (Python, Google dashboards, power BI/Tableau)
−
−

	==== What forms of evaluation were used to test students’ performance in this section? ====		==== What forms of evaluation were used to test students’ performance in this section? ====
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	\|align="center"\| 0		\|align="center"\| 0
	\|}		\|}
−

	</div>		</div>
−

	==== Typical questions for ongoing performance evaluation within this section ====		==== Typical questions for ongoing performance evaluation within this section ====
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	#Automatic services for collecting product metrics (online analytics tools Google and Yandex);		#Automatic services for collecting product metrics (online analytics tools Google and Yandex);
	#Manual data collection techniques (Python, Google dashboards, power BI/Tableau);		#Manual data collection techniques (Python, Google dashboards, power BI/Tableau);
−

	==== Test questions for final assessment in this section ====		==== Test questions for final assessment in this section ====
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	=== Section 3 ===		=== Section 3 ===

		+	==== Section title: ====
−	~~====~~ Hypotheses, management reports and forecasting ~~====~~	+	Hypotheses, management reports and forecasting
−

	==== Topics covered in this section ====		==== Topics covered in this section ====
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	*Budgeting;		*Budgeting;
	*Product planning and prioritizing;		*Product planning and prioritizing;
−
−
−
−

	==== What forms of evaluation were used to test students’ performance in this section? ====		==== What forms of evaluation were used to test students’ performance in this section? ====
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	\|align="center"\| 0		\|align="center"\| 0
	\|}		\|}
−

	</div>		</div>
−

	==== Typical questions for ongoing performance evaluation within this section ====		==== Typical questions for ongoing performance evaluation within this section ====
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	#Forecast the product evolution and identify growth drivers;		#Forecast the product evolution and identify growth drivers;
	#Make a few hypotheses for the product improvement, fix the changes in the forecasting of product metrics.		#Make a few hypotheses for the product improvement, fix the changes in the forecasting of product metrics.
−

	==== Typical questions for seminar classes (labs) within this section ====		==== Typical questions for seminar classes (labs) within this section ====
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	#Budgeting;		#Budgeting;
	#Product planning and prioritizing;		#Product planning and prioritizing;
−
−

	==== Test questions for final assessment in this section ====		==== Test questions for final assessment in this section ====

R.sirgalina: /* Grades range */

2022-07-13T07:21:48Z

Grades range

← Older revision		Revision as of 07:21, 13 July 2022
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	\|}		\|}

		+	</div>
	If necessary, please indicate freely your course’s grading features.		If necessary, please indicate freely your course’s grading features.

R.sirgalina: /* Course evaluation */

2022-07-13T07:21:30Z

Course evaluation

← Older revision		Revision as of 07:21, 13 July 2022
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	\|align="center"\| 30		\|align="center"\| 30
	\|}		\|}
		+	</div>
−

	=== Grades range ===		=== Grades range ===

R.akhmetzyanov: /* Course characteristics */

2022-04-21T07:53:51Z

Course characteristics

← Older revision		Revision as of 07:53, 21 April 2022
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	* <span>'''Course number:'''</span>		* <span>'''Course number:'''</span>

		+	== Prerequisites ==
	== Course characteristics ==		== Course characteristics ==

M.petrishchev: M.petrishchev moved page MSc:Unit-economics For IT startups to MSc: Unit-economics For IT startups

2022-04-15T10:12:45Z

M.petrishchev moved page MSc:Unit-economics For IT startups to MSc: Unit-economics For IT startups

← Older revision	Revision as of 10:12, 15 April 2022
(No difference)

M.petrishchev: M.petrishchev moved page MSc:Unit-economicsForITstartups to MSc:Unit-economics For IT startups

2022-04-10T12:40:18Z

M.petrishchev moved page MSc:Unit-economicsForITstartups to MSc:Unit-economics For IT startups

← Older revision	Revision as of 12:40, 10 April 2022
(No difference)